MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training | Paper Citation Record

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This paper cites A simple and robust frame- work for cross-modality medical image segmentation ap- plied to vision transformers.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training A simple and robust frame- work for cross-modality medical image segmentation ap- plied to vision transformers

Reference 1

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Observation 1ab891b1-b7c6-45c6-b076-7aa077d5743d · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training MONAI: An open-source framework for deep learning in healthcare

Reference 2

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This paper cites Adversarial image synthesis for unpaired multi-modal cardiac data.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Adversarial image synthesis for unpaired multi-modal cardiac data

Reference 3

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Observation 5f360c1f-e3db-466d-a87e-d8a9c7b831f9 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

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This paper cites Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation

Reference 5

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This paper cites CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency

Reference 6

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This paper cites Cross-lingual lan- guage model pretraining.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Cross-lingual lan- guage model pretraining

Reference 7

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Observation 3896015a-25f1-4eec-8348-e735d7205bd1 · outbound

This paper cites ResViT: Residual vision transformers for multi-modal medical image synthesis.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training ResViT: Residual vision transformers for multi-modal medical image synthesis

Reference 8

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Observation 72a24a0f-0872-414e-ba94-cfc3d80fb6b8 · outbound

This paper cites Hyperdense- net: a hyper-densely connected cnn for multi-modal im- age segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Hyperdense- net: a hyper-densely connected cnn for multi-modal im- age segmentation

Reference 9

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Observation 069f00b1-9038-4533-9ec1-72cdf5e89aa9 · outbound

This paper cites Unpaired multi-modal segmentation via knowledge distilla- tion.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Unpaired multi-modal segmentation via knowledge distilla- tion

Reference 10

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Observation 6cb5d2db-1ba7-4bdf-9324-bfe47f184830 · outbound

This paper cites Multi- modal multi-stream unet model for liver segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Multi- modal multi-stream unet model for liver segmentation

Reference 11

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Observation 3d646e8e-9940-4b05-81a1-1e1fb3574219 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 12

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This paper cites Unetr: Transformers for 3d med- ical image segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Unetr: Transformers for 3d med- ical image segmentation

Reference 13

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Observation 8b70ee92-ee18-4d8e-b2c5-5deaf1c28461 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmen- tation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmen- tation

Reference 14

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Observation 6064175a-4e26-41f0-9e14-5ba777a48088 · outbound

This paper cites Unpaired cross-modality educed distillation (cmedl) for medical image segmentation.IEEE Transactions on medical imaging, 41(5):1057–1068, 2021.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Unpaired cross-modality educed distillation (cmedl) for medical image segmentation.IEEE Transactions on medical imaging, 41(5):1057–1068, 2021

Reference 15

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Observation 6f4cbb3e-1597-46d7-aa30-3e1031fdac63 · outbound

This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 16

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Observation c8a24972-8e58-4295-ba65-530782366070 · outbound

This paper cites AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

Reference 17

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Observation 27b62ccf-4249-400a-9b04-40ea8c3c97db · outbound

This paper cites Focalunetr: A focal transformer for boundary-aware prostate segmentation using ct images.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Focalunetr: A focal transformer for boundary-aware prostate segmentation using ct images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.644947Z

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Observation 7e5b7f78-f382-4670-b49a-3f9078502cbd · outbound

This paper cites Towards cross-modality medical image segmentation with online mutual knowledge distillation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Towards cross-modality medical image segmentation with online mutual knowledge distillation

Reference 19

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Observation 4669c07f-4b5c-497a-bd4f-416014b5641f · outbound

This paper cites M- flag: Medical vision-language pre-training with frozen lan- guage models and latent space geometry optimization.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training M- flag: Medical vision-language pre-training with frozen lan- guage models and latent space geometry optimization

Reference 20

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Observation 6ac713be-c552-44fc-bef8-62cd3ffaec51 · outbound

This paper cites A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmen- tation with limited annotations.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmen- tation with limited annotations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.602595Z

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Observation 112ab9c9-ffe1-4b4d-8723-8cfc3a963244 · outbound

This paper cites Clip-driven universal model for organ segmentation and tumor detection.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Clip-driven universal model for organ segmentation and tumor detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.589145Z

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Observation 27b52592-6150-4b84-a106-ad5173e12a6a · outbound

This paper cites Decoupled Weight Decay Regularization.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Decoupled Weight Decay Regularization

Reference 23

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This paper cites Deep neural networks for medical image segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Deep neural networks for medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.575535Z

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This paper cites Mirror u-net: Marry- ing multimodal fission with multi-task learning for seman- tic segmentation in medical imaging.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Mirror u-net: Marry- ing multimodal fission with multi-task learning for seman- tic segmentation in medical imaging

Reference 25

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This paper cites Direct comparison of mri and x-ray ct technologies for 3d imaging of root systems in soil: potential and challenges for root trait quantification.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Direct comparison of mri and x-ray ct technologies for 3d imaging of root systems in soil: potential and challenges for root trait quantification

Reference 26

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Observation 77ceefa9-ca73-4fb2-a784-cffd7e6f3d6a · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 27

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This paper cites Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Reference 28

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This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training U- net: Convolutional networks for biomedical image segmen- tation

Reference 29

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This paper cites Batch Normalization Embeddings for Deep Domain Generalization.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Batch Normalization Embeddings for Deep Domain Generalization

Reference 30

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Observation 3ac823e2-e333-44cc-9972-7f6bbfa6b836 · outbound

This paper cites Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 31

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This paper cites Conditional con- volutions for instance segmentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Conditional con- volutions for instance segmentation

Reference 32

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This paper cites Tganet: Text-guided attention for improved polyp seg- mentation.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Tganet: Text-guided attention for improved polyp seg- mentation

Reference 33

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This paper cites Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri

Reference 34

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This paper cites Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O

Reference 35

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This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 36

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This paper cites Toward unpaired multi-modal medical image seg- mentation via learning structured semantic consistency.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Toward unpaired multi-modal medical image seg- mentation via learning structured semantic consistency

Reference 37

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This paper cites Dillman, Nehal A.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Dillman, Nehal A

Reference 38

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This paper cites Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

Reference 39

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Observation 439eb2f7-9b67-45c5-bc72-9c3a2501da06 · outbound

This paper cites Modality-aware mutual learning for multi-modal medical image segmenta- tion.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Modality-aware mutual learning for multi-modal medical image segmenta- tion

Reference 40

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This paper cites Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-At-Risk.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-At-Risk

Reference 41

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Observation 5db2ceba-89a1-4e4c-b0e2-55b0835502e3 · outbound

This paper cites Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network

Reference 42

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Observation ffc2a1cc-2a80-4837-ab21-6366c2cf2932 · outbound

This paper cites Translating and Segmenting Multimodal Medical V olumes with Cycle- and Shape-Consistency Generative Adversarial Network, Mar.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Translating and Segmenting Multimodal Medical V olumes with Cycle- and Shape-Consistency Generative Adversarial Network, Mar

Reference 43

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Observation bcd79bd8-8b91-4d4a-8a78-e92c260d650b · outbound

This paper cites Cross-modality medical image detection and segmentation by transfer learning of shapel priors.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Cross-modality medical image detection and segmentation by transfer learning of shapel priors

Reference 44

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Observation 74bfb902-8acf-4aae-b0af-fe0bd41e24bc · outbound

This paper cites Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Ariadne’s thread: Using text prompts to improve segmentation of infected areas from chest x-ray images

Reference 45

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This paper cites A review of deep learning in medical imaging: Imaging traits, 10 technology trends, case studies with progress highlights, and future promises.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training A review of deep learning in medical imaging: Imaging traits, 10 technology trends, case studies with progress highlights, and future promises

Reference 46

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 216d5da2-5517-4d28-9132-dc393e88e5ed · outbound

This paper cites Latent correlation representation learning for brain tumor segmentation with missing mri modalities.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Latent correlation representation learning for brain tumor segmentation with missing mri modalities

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.286402Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5d00e43-6ecb-4ab0-b9ad-2a082c8c1467 · outbound

This paper cites A review: Deep learning for medical image segmentation using multi- modality fusion.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training A review: Deep learning for medical image segmentation using multi- modality fusion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.271357Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56394eec-2f9e-4cd5-8bd7-964db83cdd13 · outbound

This paper cites Generalizable cross-modality medical image segmentation via style augmentation and dual normalization.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Generalizable cross-modality medical image segmentation via style augmentation and dual normalization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.256143Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f2bff5f-6466-4998-96e7-057241d57fa1 · outbound

This paper cites Generalizable Cross-modality Medical Image Segmen- tation via Style Augmentation and Dual Normalization.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Generalizable Cross-modality Medical Image Segmen- tation via Style Augmentation and Dual Normalization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.241278Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d89a572-7cb8-450a-82a6-9404a2c66602 · outbound

This paper cites Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:11:56.226976Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46f0c5cf-a787-4743-8f4c-5ab9b190a46f · outbound

This paper cites Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:11:56.024670Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3bbb319-8474-48a0-b029-210a97cccdee · outbound

This paper cites an unresolved cited work.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:11:56.374002Z

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