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Paper Citation Record · LEDGER

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms

As of 12 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2607.09749.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.09749 v1

Coverage vector

measured 100 of 105 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T16:31:09.661787Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

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100 of 105 outbound references displayed

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Outbound references

Observation 37150fcd-26bf-4920-b680-19ae1be3ae5f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 1

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Observation 164e554e-6fbb-40a0-9384-858affd79490 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Masked autoencoders are scalable vision learners

Reference 2

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Observation 2cc56bbc-a659-4c88-bdd8-f212dcd04150 · outbound

This paper cites Deep Residual Learning for Image Recognition.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Deep Residual Learning for Image Recognition

Reference 3

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Observation 59562921-b522-4865-9008-27c17c72abed · outbound

This paper cites Multi-scale 3d deep convolutional neural network for hyperspectral image classification.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Multi-scale 3d deep convolutional neural network for hyperspectral image classification

Reference 4

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Observation ffaefe63-f291-4e78-982e-6b23f3e272ea · outbound

This paper cites Bag of tricks for image classification with convolutional neural networks.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Bag of tricks for image classification with convolutional neural networks

Reference 5

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Observation 5a6a7641-b94c-41d2-93e6-22b99203cef3 · outbound

This paper cites A foundational vision transformer improves diagnostic performance for electrocardiograms.NPJ Digital Medicine, 6(1):108, 2023.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A foundational vision transformer improves diagnostic performance for electrocardiograms.NPJ Digital Medicine, 6(1):108, 2023

Reference 6

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Observation 35e31ad7-b02b-4cc2-9851-70334af52926 · outbound

This paper cites Foundation models in healthcare: Opportunities, risks & strategies forward.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models in healthcare: Opportunities, risks & strategies forward

Reference 7

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Observation c32ee962-8467-4289-913c-3c7be2ab9136 · outbound

This paper cites Foundation models for time series forecasting.International IT Journal of Research, ISSN: 3007-6706, 2(4):144–156, 2024.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models for time series forecasting.International IT Journal of Research, ISSN: 3007-6706, 2(4):144–156, 2024

Reference 8

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Observation 15f7b737-e9f8-4500-9d23-1a0518e87d5b · outbound

This paper cites A foun- dation model for intensive care: Unlocking generalization across tasks and domains at scale.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A foun- dation model for intensive care: Unlocking generalization across tasks and domains at scale

Reference 9

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Observation 8c6ffa64-3bdb-468f-826b-ee4f9816fb76 · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models defining a new era in vision: a survey and outlook.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 10

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Observation dff9d18f-f90c-4a45-b172-75d87c8b1513 · outbound

This paper cites Foundation model for advancing healthcare: challenges, opportunities and future directions.IEEE Reviews in Biomedical Engineering, 2024.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation model for advancing healthcare: challenges, opportunities and future directions.IEEE Reviews in Biomedical Engineering, 2024

Reference 11

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Observation 97fa2a0e-2cad-4ed3-9582-0adbb534861c · outbound

This paper cites Foundation models for electronic health records: representation dynamics and transferability.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models for electronic health records: representation dynamics and transferability

Reference 12

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Observation 39aaf645-b4eb-4b19-b417-522dc3760ab1 · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models for time series analysis: A tutorial and survey

Reference 13

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Observation 4cbf6066-7491-480f-901d-91c807b83adc · outbound

This paper cites Foundation models in bioinformatics.National science review, 12(4):nwaf028, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models in bioinformatics.National science review, 12(4):nwaf028, 2025

Reference 14

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Observation dea75be3-b245-4c1c-8e1e-4b6f78e1b4c9 · outbound

This paper cites Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning

Reference 15

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Observation 983e3d4e-4c91-4754-baf5-80d59716e8e6 · outbound

This paper cites Large-scale Training of Foundation Models for Wearable Biosignals.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Large-scale Training of Foundation Models for Wearable Biosignals

Reference 16

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Observation 803225aa-9caa-4f34-a15e-53425071e4a8 · outbound

This paper cites Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity

Reference 17

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Observation c540b041-af10-4c96-a6d3-0e2ba5f86f37 · outbound

This paper cites Edge ppg quality gating with validity-labeled outputs and dual-channel communication on a raspberry pi zero 2 w wearable device.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Edge ppg quality gating with validity-labeled outputs and dual-channel communication on a raspberry pi zero 2 w wearable device

Reference 18

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Observation e9c580c8-9b29-4596-b01d-7c89b3baa834 · outbound

This paper cites Himae: Hierarchical masked autoencoders discover resolution-specific structure in wearable time series.arXiv preprint arXiv:2510.25785, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Himae: Hierarchical masked autoencoders discover resolution-specific structure in wearable time series.arXiv preprint arXiv:2510.25785, 2025

Reference 19

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Observation 5b0d07f9-755e-442e-90c5-b21b8a622b2f · outbound

This paper cites Multimodal self-supervised learning for wearable sleep staging using photoplethysmography and accelerometer signals.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Multimodal self-supervised learning for wearable sleep staging using photoplethysmography and accelerometer signals

Reference 20

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Observation dd1c32f8-08e5-4a0d-8527-99398a41b877 · outbound

This paper cites GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring

Reference 21

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Observation 91bd3ba5-e2bc-4fe7-9641-11246d1dafab · outbound

This paper cites Trust and transparency in healthcare ai: A systematic review of explainable nlp for clinical decision support (2023–2025).

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Trust and transparency in healthcare ai: A systematic review of explainable nlp for clinical decision support (2023–2025)

Reference 22

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:4add04a13a0adf212038c2b77dd1f8e195aa9af70be7c2b3df2a1713f5cc311c

Observation 263d19d6-3808-4a16-b9c7-9c171ec2e0c0 · outbound

This paper cites Smart assistive technologies for neurodisorders: A review on ai, iot, and wearable systems for enhanced patient care.Neurological Sciences, 47(2):211, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Smart assistive technologies for neurodisorders: A review on ai, iot, and wearable systems for enhanced patient care.Neurological Sciences, 47(2):211, 2026

Reference 23

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Observation 32e2a937-2f91-4f1a-b757-89d39bb832b9 · outbound

This paper cites A preoperative data sentenceization method for postoperative major adverse cardiovascular event prediction.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A preoperative data sentenceization method for postoperative major adverse cardiovascular event prediction

Reference 24

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Observation 724ca61d-1e6a-47b1-8566-0d66be74e2fe · outbound

This paper cites A large language model for electronic health records.NPJ digital medicine, 5(1):194, 2022.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A large language model for electronic health records.NPJ digital medicine, 5(1):194, 2022

Reference 25

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Observation 1eec7281-fdb8-45fb-b21d-14990672b6d3 · outbound

This paper cites Foundation models for physiological signals: Opportunities and challenges.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Foundation models for physiological signals: Opportunities and challenges

Reference 26

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Observation 911677e8-5b81-4633-a0bb-80842a3262cb · outbound

This paper cites The shaky foundations of large language models and foundation models for electronic health records.npj digital medicine, 6(1):135, 2023.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms The shaky foundations of large language models and foundation models for electronic health records.npj digital medicine, 6(1):135, 2023

Reference 27

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Observation d09fdd91-9aae-42cb-b6e3-979e6256e8bf · outbound

This paper cites JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures

Reference 28

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Observation 7af0e3f7-e9c1-4ffc-90cb-0a5a9b47e88a · outbound

This paper cites Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions.Artificial intelligence in medicine, page 103220, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions.Artificial intelligence in medicine, page 103220, 2025

Reference 29

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Observation 387001ff-eccc-4a0e-bbd8-b128fea6e4ba · outbound

This paper cites Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

Reference 30

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Observation aff9efef-e26e-442f-a5e8-a45c85322d61 · outbound

This paper cites Seq vs seq: An open suite of paired encoders and decoders.arXiv preprint arXiv:2507.11412, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Seq vs seq: An open suite of paired encoders and decoders.arXiv preprint arXiv:2507.11412, 2025

Reference 31

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Observation 01961e7c-baba-4e19-a38b-5be6d5c21261 · outbound

This paper cites A Survey of Large Language Models.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A Survey of Large Language Models

Reference 32

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Observation 51998126-59ec-4ba6-a973-7c3b5d468448 · outbound

This paper cites Neuroseg meets dinov3: Transferring 2d self- supervised visual priors to 3d neuron segmentation via dinov3 initialization.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Neuroseg meets dinov3: Transferring 2d self- supervised visual priors to 3d neuron segmentation via dinov3 initialization

Reference 33

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Observation 9de8f513-159d-452f-a3f7-e3a51d1939be · outbound

This paper cites Clinical decision support using pseudo-notes from multiple streams of ehr data.npj Digital Medicine, 8(1):394, July 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Clinical decision support using pseudo-notes from multiple streams of ehr data.npj Digital Medicine, 8(1):394, July 2025

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Observation c34f97dc-a809-4461-83aa-ac59d488e4a0 · outbound

This paper cites Towards on-device foundation models for raw wearable signals.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Towards on-device foundation models for raw wearable signals

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Observation 2febbbad-83b5-475b-b5d3-fdf8e7163e62 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ccnet: Criss-cross attention for semantic segmentation

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Observation 1706449c-f4d2-467a-afb6-4f95d7a377fc · outbound

This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Crossvit: Cross-attention multi- scale vision transformer for image classification

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Observation c49f41ba-df03-4bed-a46c-60f0d9d75fd8 · outbound

This paper cites Cross attention network for few-shot classification.Advances in neural information processing systems, 32, 2019.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Cross attention network for few-shot classification.Advances in neural information processing systems, 32, 2019

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Observation 1718c732-eff0-41de-9244-a428b65aba57 · outbound

This paper cites A survey of large language models for tabular data imputation: Tuning paradigms and challenges.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A survey of large language models for tabular data imputation: Tuning paradigms and challenges

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Observation 717638e4-4d29-45e8-b898-c48d820a7ac3 · outbound

This paper cites Interpretable large language models for early prediction of antimicrobial multidrug resistance.Health Information Science and Systems, 14(1):11, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Interpretable large language models for early prediction of antimicrobial multidrug resistance.Health Information Science and Systems, 14(1):11, 2025

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Observation 717136fb-1de3-4243-a883-741080322f80 · outbound

This paper cites an unresolved cited work.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Unresolved cited work

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:600b99ae29e2e6757ba4d902d0bfeea9b8cafb433e0afa4bedefd2e90d717cfe

Observation 19abfc76-ba32-45f4-8ae6-23a884a9818a · outbound

This paper cites A foundation model for wearable movement data in mental health research.IEEE Journal of Biomedical and Health Informatics, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A foundation model for wearable movement data in mental health research.IEEE Journal of Biomedical and Health Informatics, 2026

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Observation 2c73dc94-7120-430f-bae1-7c1f4bcbfd35 · outbound

This paper cites Physicase: Development and dual-layer validation of synthetic cases for health professional education: A pilot study leveraging generative ai.medRxiv, pages 2026–06, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Physicase: Development and dual-layer validation of synthetic cases for health professional education: A pilot study leveraging generative ai.medRxiv, pages 2026–06, 2026

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Observation 1058715c-dfb0-4e48-a270-7b0a1d521299 · outbound

This paper cites The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI

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Observation a41adcb8-f766-464c-8932-63907c9b2d43 · outbound

This paper cites A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs

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Observation 4977e6f5-7fd6-4f1c-afd8-cee27dfdee7a · outbound

This paper cites Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models

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Observation e9e04bb6-be1f-4673-b943-13d1dc9dbe2d · outbound

This paper cites Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:1de88a578141ba9893ccea7ff1cb989a50dd1143e70f86cb8941a5e283fa62e4

Observation 29d16149-c86d-42c6-aa05-7b3910528638 · outbound

This paper cites Measuring the gap: correlating synthetic-to-real drift with phi de-identification performance.Genomics & Informatics, 24(1):10, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Measuring the gap: correlating synthetic-to-real drift with phi de-identification performance.Genomics & Informatics, 24(1):10, 2026

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:a8f3161c29c0b423c8b52af293ff2ef4a3653c8bfee8d2e6b1224cbdca7f2846

Observation ff8d2e76-8366-4288-8611-2fede4fd98ce · outbound

This paper cites On the problem of consistent anomalies in zero-shot anomaly detection.arXiv preprint arXiv:2512.02520, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms On the problem of consistent anomalies in zero-shot anomaly detection.arXiv preprint arXiv:2512.02520, 2025

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:c34035a51976a9470e5a9b7edbb942c25879b19ecbbe35677e7c731858a61ee7

Observation 8f99394f-07ea-4c57-a4a9-6acce949801d · outbound

This paper cites Reuniting forcibly separated families through shared memories with machine learning.Available at SSRN, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Reuniting forcibly separated families through shared memories with machine learning.Available at SSRN, 2025

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:41025639854ec250d8c3764a46bf0514145925f01a38326e347d39621e3f1cc6

Observation 9385c268-baa0-4257-9a32-441298fadb50 · outbound

This paper cites Semantic insurance pricing with large language models.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Semantic insurance pricing with large language models

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:ab72a2eaafe1b01b7eb83c4e4d426e65af6a2882626568d929f27f3dab7da25a

Observation c6c72f32-5eb4-4670-8b78-85752be73501 · outbound

This paper cites Ethical framework for responsible foundational models in medical imaging.Frontiers in Medicine, 12:1544501, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ethical framework for responsible foundational models in medical imaging.Frontiers in Medicine, 12:1544501, 2025

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Observation 409a2ef4-4441-447c-9265-512d0b22abb5 · outbound

This paper cites One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models

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Observation eaa11573-40f2-475f-943c-e41fef049e74 · outbound

This paper cites Ehr foundation models improve robustness in the presence of temporal distribution shift.Scientific Reports, 13(1):3767, 2023.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ehr foundation models improve robustness in the presence of temporal distribution shift.Scientific Reports, 13(1):3767, 2023

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Observation d4227a14-35f7-49b2-8346-dd35b8f9df14 · outbound

This paper cites Ehr-r1: A reasoning-enhanced foundational language model for electronic health record analysis, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ehr-r1: A reasoning-enhanced foundational language model for electronic health record analysis, 2025

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Observation 9d48f2ce-b9c9-4141-8c20-80ffb5314a56 · outbound

This paper cites Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records

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Observation c6dc92ce-ee06-4793-9e43-4ff56a6ad588 · outbound

This paper cites Learning the natural history of human disease with generative transformers.Nature, 647(8088):248–256, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Learning the natural history of human disease with generative transformers.Nature, 647(8088):248–256, 2025

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Observation faeddcb8-dcfb-49c2-a95d-20365b579d22 · outbound

This paper cites Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

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Observation 0adb0ac1-f2e5-40c9-83fc-09c364cdbdd0 · outbound

This paper cites CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

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Observation e5f0d3bd-4a4e-43f9-ac7b-bbda80a6cf9f · outbound

This paper cites Med-bert: pretrained contextu- alized embeddings on large-scale structured electronic health records for disease prediction.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Med-bert: pretrained contextu- alized embeddings on large-scale structured electronic health records for disease prediction

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Observation 9ba65286-4ca7-4e95-85c2-79b3583b18ee · outbound

This paper cites Language models are an effective representation learning technique for electronic health record data.Journal of biomedical informatics, 113:103637, 2021.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Language models are an effective representation learning technique for electronic health record data.Journal of biomedical informatics, 113:103637, 2021

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Observation 028a5cb6-f1ab-467f-ae7c-a2dc412f61e9 · outbound

This paper cites Ehrshot: An ehr benchmark for few-shot evaluation of foundation models.Advances in Neural Information Processing Systems, 36, 2024.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Ehrshot: An ehr benchmark for few-shot evaluation of foundation models.Advances in Neural Information Processing Systems, 36, 2024

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Observation d7f2ac47-3e8f-4aa9-9aaf-8950b8c8cfda · outbound

This paper cites Context clues: Evaluating long context models for clinical prediction tasks on ehr data.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Context clues: Evaluating long context models for clinical prediction tasks on ehr data

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Observation 96f2869e-03a5-46d2-9af9-00231efa76a8 · outbound

This paper cites Evidence extraction for automated medical coding: preliminary evaluation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Evidence extraction for automated medical coding: preliminary evaluation

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Observation f83bfac1-5c79-414a-b3b6-15fce50b71a3 · outbound

This paper cites Utilizing large language models to predict icd-10 diagnosis codes from patient medical records.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Utilizing large language models to predict icd-10 diagnosis codes from patient medical records

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Observation df128cb5-cdc8-4a04-9082-5afb892af33a · outbound

This paper cites Can Large Language Models abstract Medical Coded Language?.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Can Large Language Models abstract Medical Coded Language?

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Observation 62c9a48e-045c-45ee-9fb2-84bc6b84567e · outbound

This paper cites Clinical ModernBERT: An efficient and long context encoder for biomedical text.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Clinical ModernBERT: An efficient and long context encoder for biomedical text

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:22f9e5b6e806df51df20e3da595c5c7f9f5d3fdfc0dcfe9dbb22bb867e535faa

Observation 638589a0-86ec-42df-b1ac-48608ed290e3 · outbound

This paper cites Clinical text embeddings: A systematic review of methods, applications, and future directions.International Journal of Medical Informatics, page 106505, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Clinical text embeddings: A systematic review of methods, applications, and future directions.International Journal of Medical Informatics, page 106505, 2026

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Observation 3a971a9f-6d52-458c-beac-079c9d96e56c · outbound

This paper cites Aicoder: Exploring automated icd coding on chinese emrs with a multi-agent framework.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Aicoder: Exploring automated icd coding on chinese emrs with a multi-agent framework

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Observation 12f3b1bd-a23a-4e4c-b4bd-827ec6018c31 · outbound

This paper cites Gate: Graph and text exchange for zero-shot ecg classification with llm prompts.IEEE Journal of Biomedical and Health Informatics, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Gate: Graph and text exchange for zero-shot ecg classification with llm prompts.IEEE Journal of Biomedical and Health Informatics, 2026

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Observation e9ad159b-b1c4-4264-b550-10b1ebfb8ee1 · outbound

This paper cites Cp-env: Evaluating large language models on clinical pathways in a controllable hospital environment.arXiv preprint arXiv:2512.10206, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Cp-env: Evaluating large language models on clinical pathways in a controllable hospital environment.arXiv preprint arXiv:2512.10206, 2025

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:5fd1d1a1d99958d01998df109e0dcbb5b2d0683d1606e1c244e7790e0bc8e3dc

Observation 6314f2e4-0ade-4890-994e-3696cf0ad5e7 · outbound

This paper cites An analytical review of optimization techniques in information retrieval for enhanced decision support.Decision Analytics Journal, page 100657, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms An analytical review of optimization techniques in information retrieval for enhanced decision support.Decision Analytics Journal, page 100657, 2025

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:924ba23dfbe3d84ebb340646e628a0e8ae056efdd88b9dcca248a4654f30b69c

Observation f2c324b7-01b3-420a-9435-de3e69b74c89 · outbound

This paper cites Reinventing clinical dialogue: Agentic paradigms for llm enabled healthcare communication.arXiv preprint arXiv:2512.01453, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Reinventing clinical dialogue: Agentic paradigms for llm enabled healthcare communication.arXiv preprint arXiv:2512.01453, 2025

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Observation ae68c5fe-5683-4541-b3b8-a1f4e20bc320 · outbound

This paper cites Oncopt: long-context transformer models for in hospital tumor phenotype extraction from pathology reports.npj Digital Medicine, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Oncopt: long-context transformer models for in hospital tumor phenotype extraction from pathology reports.npj Digital Medicine, 2026

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Observation ef85eada-6510-4fba-a8e1-8710fe36b749 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Emerging properties in self-supervised vision transformers

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:aa178b70906d1bee1a51d4fcb9c938136fcdaecbd512f8851cb0ed7e6f8f8429

Observation d8857edf-68a7-4df8-a1b5-4140f9cb7442 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms DINOv2: Learning Robust Visual Features without Supervision

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:d9904169bdeb20fb451743887e4fb6dcf47adc209eea518d2f5a4d5510913977

Observation 90ee2e3e-c73f-4ef6-8c93-5cee27a909ee · outbound

This paper cites Learning transferable visual models from natural language supervision.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Learning transferable visual models from natural language supervision

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:04e72ef8480f73bc2fee27d710ebd01e2abf969f57225a0758cfdbb11e6adafe

Observation 3d76ae0c-a795-46dc-b268-e8c533187465 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms High-resolution image synthesis with latent diffusion models, 2021

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:22f9ca2e3f8a4df021b2bbb646db499f75ac36a66b7d0bb230e5d3d153fabedb

Observation 3bb12b27-5b6b-407d-8228-99bab4bb2b1c · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:d05da393b1301dc6d2b7a33ee59167cd8c32541176a0d41f4b7b995b27978f2d

Observation ae3173d0-f455-4a52-8ee7-6a27638c32e9 · outbound

This paper cites Contrastive Learning of Preferences with a Contextual InfoNCE Loss.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Contrastive Learning of Preferences with a Contextual InfoNCE Loss

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:f6d2404a8fdf73c9d319b269055532ea8c947e56b783d719870e8c7822b6b90e

Observation 204e2b1f-68f5-4a7e-a4cd-ae8bf333e982 · outbound

This paper cites Combating knowledge corruption in agent systems: A byzantine- tolerant secure collaborative rag framework.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Combating knowledge corruption in agent systems: A byzantine- tolerant secure collaborative rag framework

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:0d00689bc3d5d9cd1474778ff7d7542e74fa26eb3611fb434725994dbd2b5dda

Observation 5851252d-17f8-4814-9b4d-c9b36924a99f · outbound

This paper cites Team uab at chemotherapy timelines 2025: Integrating encoders and large language models for chemotherapy timelines generation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Team uab at chemotherapy timelines 2025: Integrating encoders and large language models for chemotherapy timelines generation

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:cf8f4e995e8400f59c408d679a2e8dc91aa419d56c6be774824e4c7af233b4a1

Observation 99ad587c-7e1a-4ab8-8608-7d887b0e1e99 · outbound

This paper cites Contrastive representation distillation.arXiv,.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Contrastive representation distillation.arXiv,

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:67088b3c2284728e77612897a5c03e4b6c58710ed1c12eb8f8ff1e23de654072

Observation 3aec11fb-e28b-43b1-8999-7ddcd4f81843 · outbound

This paper cites Contrastive Representation Distillation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Contrastive Representation Distillation

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:4ba2aeae92ffa7b9a100ca7f1605c6a35f38dac7cfa98580c1d532b1a6b7c9fc

Observation c3c7408d-e001-4520-9a5a-22fbc8632a82 · outbound

This paper cites Fine-tuning foundational models to code diagnoses from veterinary health records.PLOS Digital Health, 5(2):e0001147, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Fine-tuning foundational models to code diagnoses from veterinary health records.PLOS Digital Health, 5(2):e0001147, 2026

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Observation feae91f1-d488-41b9-9e66-19c5b63eb9cf · outbound

This paper cites Tabibert: A large- scale modernbert foundation model and unified benchmarking framework for turkish.arXiv preprint arXiv:2512.23065, 2025.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Tabibert: A large- scale modernbert foundation model and unified benchmarking framework for turkish.arXiv preprint arXiv:2512.23065, 2025

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:4cfd57b6a980fe2c5a4990bec567d5fdf9ca5878f70cf890835169ac0332720a

Observation fa1852f0-4020-4dc2-b2e0-559c9729b2d3 · outbound

This paper cites an unresolved cited work.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Unresolved cited work

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:09e5f0733375bd412b34682b9e6b3143ad85d9c884dc019a601fdd61b11d729c

Observation 315ba02d-74cc-4d78-85cf-6127c7e32e39 · outbound

This paper cites ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:e8f70c1fdf8db3e9ce700db536d5296f99eff3a27eb5484c23426ea8a3b0b7ac

Observation 0b45f6df-ae61-45e9-90e0-ed5b012b3dcd · outbound

This paper cites Graph attention network-based multimodal approach for lung diseases classification.Scientific Reports, 2026.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Graph attention network-based multimodal approach for lung diseases classification.Scientific Reports, 2026

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Observation 576abe1e-5b47-48c3-83bd-f1a32ca27cc7 · outbound

This paper cites Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:890208f7853e044288a2d9760b23e0390ca960777a328caf07a50c27bf728019

Observation f021d5a2-4d8e-402e-a504-acf5549903d1 · outbound

This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms FlashAttention-2: Faster attention with better parallelism and work partitioning

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:ee71db35af9806d1405f875072fe6a54c4b284f9a3053e637ad2969169fa1724

Observation 8c8075b9-213b-49ab-8253-6675e68e2162 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Swin transformer: Hierarchical vision transformer using shifted windows

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:f23f2ed1423eb264d78a398561878501550d92d91866057a51ad261b5a316e8d

Observation 379b42aa-439c-49c7-a07a-e8d00dd40bcf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms An image is worth 16x16 words: Transformers for image recognition at scale

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:15b78325804cd4bffc70090531a5382941bf9cf199a5f24cbf7de07a7b5c573e

Observation 8ca1bab6-52c1-4cf4-8824-76044d69120b · outbound

This paper cites E2enet: Dynamic sparse feature fusion for accurate and efficient 3d medical image segmentation.NeurIPS, 2023.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms E2enet: Dynamic sparse feature fusion for accurate and efficient 3d medical image segmentation.NeurIPS, 2023

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Observation 2288ef82-ea26-42e3-8d16-d464570f7580 · outbound

This paper cites E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:3e6f25a52c7d99cc7efc707e9373dca15063a75a452b85911c6b57842e72248d

Observation 8d57763f-148f-4597-ba1f-21f4aba8b819 · outbound

This paper cites Unetr++: delving into efficient and accurate 3d medical image segmentation.IEEE Transactions on Medical Imaging, 2024.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Unetr++: delving into efficient and accurate 3d medical image segmentation.IEEE Transactions on Medical Imaging, 2024

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:22ba350ba5e8ab911049fae93d3727bd87d4b1d77f7730f2aa102b94cad8d465

Observation bb925e22-38be-47c2-bdc0-bc8c3b60a884 · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:ba0cadbde5ea4b2445c71e40eca8fc0959c8c7178a6af56ddb205fa1e63afc02

Observation efe43610-2788-43c0-8692-5e8ba51b137b · outbound

This paper cites OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:94ba1218609db81fdbec249845cc5264f32c62ab9c2e84a8892e20633cc160e0

Observation dc423761-50d5-47f3-91d0-70f86b43beeb · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms 4d spatio-temporal convnets: Minkowski convolutional neural networks

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source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:da9fdf64fd19f028846a639ef7444130272070c08e8a5cfed20e3c54687e60f4

Observation 827384b8-594c-49bf-bfbc-17cd244f9875 · outbound

This paper cites MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

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Pith citing papers

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