SAMRI: Segment Any MRI | Paper Citation Record

Observation a9aadf13-e9f6-478e-a0b6-4074a43f83f6 · outbound

This paper cites A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians.

SAMRI: Segment Any MRI A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

Reference 1

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.763109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db5482c2-3e9a-42f8-972f-63e0ad5c341e · outbound

This paper cites Inter -observer variability of manual contour delineation of structures in CT.

SAMRI: Segment Any MRI Inter -observer variability of manual contour delineation of structures in CT

Reference 2

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.681809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 262ddcf2-a122-4039-8b60-91640aae3cfe · outbound

This paper cites Magnetization transfer MRI in multiple sclerosis.

SAMRI: Segment Any MRI Magnetization transfer MRI in multiple sclerosis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.340733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8e58fd2-000a-455b-a227-3962591f681f · outbound

This paper cites Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging.

SAMRI: Segment Any MRI Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:44:21.742758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f1fdc50-bbb5-4602-940a-28e6c3d5ff29 · outbound

This paper cites Ultrahigh-field MRI: where it really makes a difference.

SAMRI: Segment Any MRI Ultrahigh-field MRI: where it really makes a difference

Reference 5

Resolution: malformed identifier; doi_truncated, observed 2026-05-21T20:44:21.757985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1a630e6-a87d-4551-b90d-85ac171e8c8c · outbound

This paper cites Comparison of Routine Brain Imaging at 3 T and 7 T.

SAMRI: Segment Any MRI Comparison of Routine Brain Imaging at 3 T and 7 T

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.359254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f11d54f7-2554-48f9-9989-d584189a812e · outbound

This paper cites Available: https://journals.lww.com/investigativeradiology/fulltext/2016/08000/comparison_of_routine_brain_imaging _at_3_t_and_7_t.1.aspx.

SAMRI: Segment Any MRI Available: https://journals.lww.com/investigativeradiology/fulltext/2016/08000/comparison_of_routine_brain_imaging _at_3_t_and_7_t.1.aspx

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.372589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53de7bae-2378-432d-8313-f1a3539e3cac · outbound

This paper cites Foundation Models for Biomedical Image Segmentation: A Survey.

SAMRI: Segment Any MRI Foundation Models for Biomedical Image Segmentation: A Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.893140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aaf9d771-d6c8-4832-8656-0a68aa0cc32c · outbound

This paper cites MRI at 7 Tesla and above: demonstrated and potential capabilities.

SAMRI: Segment Any MRI MRI at 7 Tesla and above: demonstrated and potential capabilities

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.438849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb68edfb-1c2c-4bd5-a364-a464b0c4b240 · outbound

This paper cites Quantitative susceptibility mapping: basic methods and clinical applications.

SAMRI: Segment Any MRI Quantitative susceptibility mapping: basic methods and clinical applications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.353239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71df285e-eaf5-489d-bd14-3b4b621f6cf1 · outbound

This paper cites STrategically Acquired Gradient Echo (STAGE) imaging, part III: Technical advances and clinical applications of a rapid multi -contrast multi-parametric brain imaging method.

SAMRI: Segment Any MRI STrategically Acquired Gradient Echo (STAGE) imaging, part III: Technical advances and clinical applications of a rapid multi -contrast multi-parametric brain imaging method

Reference 11

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.745719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b2fdae8-c534-420d-848b-bbc130f8984e · outbound

This paper cites Application of a Population Based Electrophysiological Database to the Planning and Guidance of Deep Brain Stereotactic Neurosurgery.

SAMRI: Segment Any MRI Application of a Population Based Electrophysiological Database to the Planning and Guidance of Deep Brain Stereotactic Neurosurgery

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.362285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aaffaeb7-b908-4867-b9c6-a94427588b1e · outbound

This paper cites A Multi -Atlas- Based Segmentation Framework for Prostate Brachytherapy.

SAMRI: Segment Any MRI A Multi -Atlas- Based Segmentation Framework for Prostate Brachytherapy

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.705847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90fcc46a-e836-4ae8-9504-dcccc2d8572c · outbound

This paper cites Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI) -Alone External Beam Radiation Therapy From Standard MRI Sequences.

SAMRI: Segment Any MRI Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI) -Alone External Beam Radiation Therapy From Standard MRI Sequences

Reference 14

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.736693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac17d95b-0970-4091-9f67-735368c88aca · outbound

This paper cites Patient Specific Prostate Segmentation in 3 -D Magnetic Resonance Images.

SAMRI: Segment Any MRI Patient Specific Prostate Segmentation in 3 -D Magnetic Resonance Images

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.710092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24bc5cd9-f85f-46c4-a17d-367e579bd39c · outbound

This paper cites CNN: A Vision of Complexity.

SAMRI: Segment Any MRI CNN: A Vision of Complexity

Reference 16

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.726621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5988030-d7c2-44c5-880a-c61ecf1884e1 · outbound

This paper cites Medical Image Segmentation Review: The Success of U -Net.

SAMRI: Segment Any MRI Medical Image Segmentation Review: The Success of U -Net

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.695247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b9c3be9-620c-4999-a715-b9d9a259ab0a · outbound

This paper cites 3D U -Net: learning dense volumetric segmentation from sparse annotation.

SAMRI: Segment Any MRI 3D U -Net: learning dense volumetric segmentation from sparse annotation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.385934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90d5b298-cc33-4024-9718-67bdf66c0bf7 · outbound

This paper cites Naushad and I.

SAMRI: Segment Any MRI Naushad and I

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:44:21.730995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e66a9ca0-b4d1-4202-b4d8-d39a346b8e97 · outbound

This paper cites Architecture Analysis and Benchmarking of 3D U- Shaped Deep Learning Models for Thoracic Anatomical Segmentation.

SAMRI: Segment Any MRI Architecture Analysis and Benchmarking of 3D U- Shaped Deep Learning Models for Thoracic Anatomical Segmentation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.749418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62176cea-484b-4d56-b26d-caf9a5ceab33 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

SAMRI: Segment Any MRI Attention U-Net: Learning Where to Look for the Pancreas

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:44:21.907476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d038bf4f-23c5-4fe0-a93d-b264a8a8f916 · outbound

This paper cites CAN3D: Fast 3D medical image segmentation via compact context aggregation.

SAMRI: Segment Any MRI CAN3D: Fast 3D medical image segmentation via compact context aggregation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.380349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74bbd19d-4ba7-4aee-9dbc-e609c7d7b977 · outbound

This paper cites Mdu-net: Multi-scale densely connected u-net for biomedical image segmentation.

SAMRI: Segment Any MRI Mdu-net: Multi-scale densely connected u-net for biomedical image segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.401520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cbdbee7-4d18-432c-ab37-234d68ab25dd · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

SAMRI: Segment Any MRI nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:44:21.911154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e751976e-efd3-454c-8efc-cbd2df4caf1e · outbound

This paper cites Recurrent residual U -Net for medical image segmentation.

SAMRI: Segment Any MRI Recurrent residual U -Net for medical image segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.365330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ee0f452-2102-4aea-bded-8bd63ffdb5e2 · outbound

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

SAMRI: Segment Any MRI V -net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.383150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4667ab7-32b1-49c8-bb65-856a8e346d7f · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

SAMRI: Segment Any MRI U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.376718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d0df79f-1cf6-4eef-89de-4e20927b9e36 · outbound

This paper cites Cellpose: a generalist algorithm for cellular segmentation.

SAMRI: Segment Any MRI Cellpose: a generalist algorithm for cellular segmentation

Reference 28

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.701341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12c5c83a-dc49-4d53-bd4b-184b2a5d570e · outbound

This paper cites Effects of MRI scanner manufacturers in classification tasks with deep learning models.

SAMRI: Segment Any MRI Effects of MRI scanner manufacturers in classification tasks with deep learning models

Reference 29

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.751765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cf3c4b1-8ca1-49fa-9ccd-de10e571c33b · outbound

This paper cites Performance changes due to differences among annotating radiologists for training data in computerized lesion detection.

SAMRI: Segment Any MRI Performance changes due to differences among annotating radiologists for training data in computerized lesion detection

Reference 30

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.760537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e65877d-eafe-4ba4-aa02-9839223c4446 · outbound

This paper cites Slippage boosted spectral cleaning in a seeded free - electron laser.

SAMRI: Segment Any MRI Slippage boosted spectral cleaning in a seeded free - electron laser

Reference 31

Resolution: metadata mismatch; doi, observed 2026-05-21T20:44:21.712904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4030965-f929-431f-99ea-5440e30f2a27 · outbound

This paper cites Visual Semantic Segmentation Based on Few/Zero -Shot Learning: An Overview.

SAMRI: Segment Any MRI Visual Semantic Segmentation Based on Few/Zero -Shot Learning: An Overview

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.724096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8def3b0d-ae2c-45c0-9ee0-a4a9df9dffc4 · outbound

This paper cites From CNN to Transformer: A Review of Medical Image Segmentation Models.

SAMRI: Segment Any MRI From CNN to Transformer: A Review of Medical Image Segmentation Models

Reference 33

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.719452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76bcf5f3-5f8a-4f88-acb6-fb29310728dd · outbound

This paper cites Segment anything.

SAMRI: Segment Any MRI Segment anything

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.451366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0f0c5d0-7d82-424b-8dbc-a7411ba4d4da · outbound

This paper cites Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping.

SAMRI: Segment Any MRI Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.410738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f58aa923-5f35-4406-856b-3fd730063c70 · outbound

This paper cites Segment anything model for medical image analysis: an experimental study.

SAMRI: Segment Any MRI Segment anything model for medical image analysis: an experimental study

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.430303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02cafacc-7376-464d-a05f-ea33ba6a5e28 · outbound

This paper cites Segment anything model for medical images?.

SAMRI: Segment Any MRI Segment anything model for medical images?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.716805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fad1498-56b4-4e87-a44a-5a6240a877c0 · outbound

This paper cites Boosting object proposals: From pascal to coco.

SAMRI: Segment Any MRI Boosting object proposals: From pascal to coco

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.404777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 351cb63c-a06b-47e7-b8fd-0ed35a514030 · outbound

This paper cites Magnetic resonance elastography from fundamental soft -tissue mechanics to diagnostic imaging.

SAMRI: Segment Any MRI Magnetic resonance elastography from fundamental soft -tissue mechanics to diagnostic imaging

Reference 39

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.689523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f9b561e-633b-4cfd-a9f9-c746cf0e1952 · outbound

This paper cites Nature Communications15(1), 654 (1 2024).

SAMRI: Segment Any MRI Nature Communications15(1), 654 (1 2024)

Reference 40

Resolution: metadata mismatch; doi, observed 2026-05-21T20:44:21.686465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a934dca-477d-433f-b95c-906d266dacdb · outbound

This paper cites An efficient segment anything model for the segmentation of medical images.

SAMRI: Segment Any MRI An efficient segment anything model for the segmentation of medical images

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.416041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98c9f82b-1ee2-4bba-bac7-40a12da21d6f · outbound

This paper cites Ma -sam: Modality -agnostic sam adaptation for 3d medical image segmentation.

SAMRI: Segment Any MRI Ma -sam: Modality -agnostic sam adaptation for 3d medical image segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.471327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2349ace-c29b-4692-b656-8bebdda0765e · outbound

This paper cites Medical SAM adapter: Adapting segment anything model for medical image segmentation.

SAMRI: Segment Any MRI Medical SAM adapter: Adapting segment anything model for medical image segmentation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:21.755292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d3e5e99-45fb-4aef-822e-02129f259171 · outbound

This paper cites Desam: Decoupled segment anything model for generalizable medical image segmentation.

SAMRI: Segment Any MRI Desam: Decoupled segment anything model for generalizable medical image segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.344005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2bd5a49-d945-4ae9-9ea4-426410855c09 · outbound

This paper cites MedLSAM: Localize and segment anything model for 3D CT images.

SAMRI: Segment Any MRI MedLSAM: Localize and segment anything model for 3D CT images

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.454642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b0eccfa-0fbe-4413-ad31-84dc3f4a0ad7 · outbound

This paper cites Focal loss for dense object detection.

SAMRI: Segment Any MRI Focal loss for dense object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.389249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9a0465c-d992-4155-b52c-eccec5520f7e · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations.

SAMRI: Segment Any MRI Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.350670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65fe8dc1-3884-495d-aaa1-bcfd4df234b4 · outbound

This paper cites Measures of the amount of ecologic association between species.

SAMRI: Segment Any MRI Measures of the amount of ecologic association between species

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.448605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de027e8d-6167-40d4-b296-37ea5cbf40d6 · outbound

This paper cites Deep learning techniques for automatic MRI cardiac multi -structures segmentation and diagnosis: is the problem solved?.

SAMRI: Segment Any MRI Deep learning techniques for automatic MRI cardiac multi -structures segmentation and diagnosis: is the problem solved?

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.356262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acd5c454-4bd5-446e-96f6-851c6fa9f2d8 · outbound

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

SAMRI: Segment Any MRI Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.467648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 769d1f04-b395-40ed-948b-ca2d7af6fdd7 · outbound

This paper cites Enhanced performance of brain tumor classification via tumor region augmentation and partition.

SAMRI: Segment Any MRI Enhanced performance of brain tumor classification via tumor region augmentation and partition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.407922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49c8705b-71f2-497d-a6f1-2180455fe6d7 · outbound

This paper cites Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation.

SAMRI: Segment Any MRI Retrieval of brain tumors by adaptive spatial pooling and fisher vector representation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.395485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fe6fa10-d018-481e-90c1-408b5974e83f · outbound

This paper cites Segmentation labels and radiomic features for the pre -operative scans of the TCGA -GBM collection (2017).

SAMRI: Segment Any MRI Segmentation labels and radiomic features for the pre -operative scans of the TCGA -GBM collection (2017)

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T20:44:22.435654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 259104e5-545f-4889-8336-e1f35aad5667 · outbound

This paper cites Segmentation labels and radiomic features for the pre -operative scans of the TCGA -LGG collection [Data Set]. The Cancer Imaging Archive.

SAMRI: Segment Any MRI Segmentation labels and radiomic features for the pre -operative scans of the TCGA -LGG collection [Data Set]. The Cancer Imaging Archive

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.474121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4849819-64bb-4279-88e8-29f1d788ad31 · outbound

This paper cites Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features.

SAMRI: Segment Any MRI Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.461778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba023fdb-f0a8-470e-95bf-6cc79e702059 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

SAMRI: Segment Any MRI Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:44:21.898233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5afb9368-c0ff-4c81-ae49-518cd8b8c02e · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS).

SAMRI: Segment Any MRI The multimodal brain tumor image segmentation benchmark (BRATS)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.398212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 637e172a-bde9-40a3-9ff9-7b9545754f38 · outbound

This paper cites Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.

SAMRI: Segment Any MRI Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.347542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cce1ec2-8e2c-46d7-b51f-d8fa2db845bf · outbound

This paper cites CHAOS challenge -combined (CT -MR) healthy abdominal organ segmentation.

SAMRI: Segment Any MRI CHAOS challenge -combined (CT -MR) healthy abdominal organ segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.464672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d545aa2-2672-4477-81fb-a7a23501477a · outbound

This paper cites CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

SAMRI: Segment Any MRI CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.445165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ff4f936-cb39-470c-a40f-b5153bbf85fe · outbound

This paper cites HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease.

SAMRI: Segment Any MRI HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease

Reference 61

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.765445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c5a2e49-80fc-4189-b80a-bc2e225324d5 · outbound

This paper cites ISLES 2022: A multi -center magnetic resonance imaging stroke lesion segmentation dataset.

SAMRI: Segment Any MRI ISLES 2022: A multi -center magnetic resonance imaging stroke lesion segmentation dataset

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.457999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67cb8ad7-b571-4c09-9809-442632ee3e5b · outbound

This paper cites The Medical Segmentation Decathlon.

SAMRI: Segment Any MRI The Medical Segmentation Decathlon

Reference 63

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.738917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19c3d8fa-1df0-4142-9383-28f307445db0 · outbound

This paper cites A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

SAMRI: Segment Any MRI A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:44:21.902331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c47426a-239b-4571-9293-777d648ac844 · outbound

This paper cites The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository.

SAMRI: Segment Any MRI The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

Reference 65

Resolution: verified exact; doi, observed 2026-05-21T20:44:21.733538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13e70f1c-363f-4bd7-ab85-45e2415ee536 · outbound

This paper cites Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

SAMRI: Segment Any MRI Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.432866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49145ec1-1040-482a-b045-96124ab47e4d · outbound

This paper cites End -to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction.

SAMRI: Segment Any MRI End -to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.442110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44dfce84-a4ce-4106-9e38-6afb0d443259 · outbound

This paper cites An annotated test-retest collection of prostate multiparametric MRI.

SAMRI: Segment Any MRI An annotated test-retest collection of prostate multiparametric MRI

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.368972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48347e0e-82fd-46ab-8d22-e913bf0554d9 · outbound

This paper cites Variability of manual segmentation of the prostate in axial T2-weighted MRI: a multi-reader study.

SAMRI: Segment Any MRI Variability of manual segmentation of the prostate in axial T2-weighted MRI: a multi-reader study

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.421856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcce2e0f-e0e8-4b72-a803-f833384b7135 · outbound

This paper cites Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images.

SAMRI: Segment Any MRI Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.424342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9c46c8e-4318-4ba8-a96e-3d66fd70482f · outbound

This paper cites Totalsegmentator mri: Robust sequence -independent segmentation of multiple anatomic structures in mri.

SAMRI: Segment Any MRI Totalsegmentator mri: Robust sequence -independent segmentation of multiple anatomic structures in mri

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.427113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f38e81b-5c5b-4529-b37f-6ad5514ea048 · outbound

This paper cites Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge.

SAMRI: Segment Any MRI Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.413207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b32c886-fbcf-4277-aa43-b3c620a2ad63 · outbound

This paper cites Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative.

SAMRI: Segment Any MRI Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T20:44:22.392263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5545e50f-8f9f-4355-bf8c-b3837b4f408f · outbound

This paper cites Medical image analysis using improved SAM -Med2D: segmentation and classification perspectives.

SAMRI: Segment Any MRI Medical image analysis using improved SAM -Med2D: segmentation and classification perspectives

Reference 74

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T20:44:22.419166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers