SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens | Paper Citation Record

Observation 053d6e6c-540a-42b5-9b9b-5aa01dac3bb2 · outbound

This paper cites Segment anything,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Segment anything,

Reference 1

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Observation 68fe186f-82c4-4746-9c38-696d41371e91 · outbound

This paper cites Segment anything in medical images,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Segment anything in medical images,

Reference 2

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Observation 24c26aa5-62ed-4947-827b-00f5846a69dc · outbound

This paper cites SAMRI: Segment Any MRI.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SAMRI: Segment Any MRI

Reference 3

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Observation abd55ff7-1c0f-4f2e-a4ad-5f0371c59558 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SAM 2: Segment Anything in Images and Videos

Reference 4

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Observation a78c12c4-b927-4093-a514-7b245a804eb9 · outbound

This paper cites Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2

Reference 5

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Observation f1f2ce58-1f26-4268-bde0-92162e36a254 · outbound

This paper cites Interactive 3D Medical Image Segmentation with SAM 2.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Interactive 3D Medical Image Segmentation with SAM 2

Reference 6

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Observation 506846c7-8845-4456-b7ad-5df42ef9c612 · outbound

This paper cites SLM-SAM 2: Short-long memory SAM 2 for medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SLM-SAM 2: Short-long memory SAM 2 for medical image segmentation,

Reference 7

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Observation d840a8ff-7ba0-45e7-9e98-ce8703c49597 · outbound

This paper cites SAMed-2: Adapting SAM2 for medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SAMed-2: Adapting SAM2 for medical image segmentation,

Reference 8

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Observation eb81379c-32bc-4bb5-a2c5-c944f9bccb00 · outbound

This paper cites Segment anything in medical images and videos: Benchmark with application to echocardiography segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Segment anything in medical images and videos: Benchmark with application to echocardiography segmentation,

Reference 9

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Observation 44822c76-05af-4298-9e4f-0c32ad0101c4 · outbound

This paper cites RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T16:27:27.832070Z

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Observation 7c32a00c-fd24-46bb-8cb1-f756a4b92a4e · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 11

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Observation a64f4a99-321f-4f92-83a9-e16a7036c3eb · outbound

This paper cites Transformer compressed sens- ing via global image tokens,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Transformer compressed sens- ing via global image tokens,

Reference 12

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Observation ba9d1e73-5ccd-4c88-b1be-7f8a1f4adbcd · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 13

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Observation e9a9ca1a-452e-4232-987f-8d8655fdb060 · outbound

This paper cites Swin UNETR: Swin transformers for semantic segmentation of brain tumours in MRI images,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Swin UNETR: Swin transformers for semantic segmentation of brain tumours in MRI images,

Reference 14

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Observation 4266c199-a9ff-43fd-9b73-720dbb2ea02a · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens CAN3D: Fast 3D medical image segmentation via compact context aggregation,

Reference 15

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Observation 710e3b0c-6982-436b-a261-077ac456b05e · outbound

This paper cites Semantic segmentation of 3D medical images through a kaleidoscope: Data from the Osteoarthritis Initia- tive,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Semantic segmentation of 3D medical images through a kaleidoscope: Data from the Osteoarthritis Initia- tive,

Reference 16

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Observation df38da43-1406-4ce0-9a59-64ef09cba3ac · outbound

This paper cites Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Os- teoarthritis Initiative,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Os- teoarthritis Initiative,

Reference 17

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Observation aab32089-6f58-4e6b-bc44-7819571c60e6 · outbound

This paper cites MA-SAM: Modality-agnostic SAM adap- tation for 3D medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens MA-SAM: Modality-agnostic SAM adap- tation for 3D medical image segmentation,

Reference 18

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Observation c063bb6b-bbb0-4c5d-848a-d550a1b4b0ea · outbound

This paper cites 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable medical image segmen- tation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable medical image segmen- tation,

Reference 19

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Observation f4d3192f-ae75-41fb-bbef-106e07ab8c20 · outbound

This paper cites Medical SAM adapter: Adapting segment any- thing model for medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Medical SAM adapter: Adapting segment any- thing model for medical image segmentation,

Reference 20

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Observation d00ff1b1-f1ba-48e3-9afb-208f465c2493 · outbound

This paper cites SAM-Med3D: Towards general-purpose segmentation models for volumetric medical images,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SAM-Med3D: Towards general-purpose segmentation models for volumetric medical images,

Reference 21

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Observation 97f3748c-f424-453d-ad6d-6e5de40a09f4 · outbound

This paper cites 3DMedSAM: Cross-dimensional adaptation of SAM for volumetric medical image segmenta- tion,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens 3DMedSAM: Cross-dimensional adaptation of SAM for volumetric medical image segmenta- tion,

Reference 22

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Observation 3fc9ee49-2e6e-4f49-a9e4-c41b662fc88b · outbound

This paper cites SAM2-UNet: Segment anything 2 makes strong encoder for natural and medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens SAM2-UNet: Segment anything 2 makes strong encoder for natural and medical image segmentation,

Reference 23

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Observation 6a351f97-6c74-4b86-ad4c-9ef02ad03555 · outbound

This paper cites FocusSDF: Boundary-aware learning via signed distance supervision,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens FocusSDF: Boundary-aware learning via signed distance supervision,

Reference 24

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Observation 7af1c426-e02b-4e96-8452-9abec603f845 · outbound

This paper cites FlowSDF: Flow matching for med- ical image segmentation using distance transforms,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens FlowSDF: Flow matching for med- ical image segmentation using distance transforms,

Reference 25

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Observation ccfcc48f-5c9d-4eba-8aa3-a1ac295b56b0 · outbound

This paper cites TokenSeg: Efficient 3D medical image seg- mentation via hierarchical visual token compression,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens TokenSeg: Efficient 3D medical image seg- mentation via hierarchical visual token compression,

Reference 26

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Observation cc4340b7-62a5-422f-8b08-ff5be6dafdb1 · outbound

This paper cites Focal loss for dense object detection,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Focal loss for dense object detection,

Reference 27

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Observation ab1d1b9f-ecdb-4643-8795-935f518222c2 · outbound

This paper cites Decoupled weight decay regu- larization,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Decoupled weight decay regu- larization,

Reference 28

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Observation 636a7b4b-096a-45f4-893c-5f24200ad6bb · outbound

This paper cites Perceiver: General perception with iterative attention,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Perceiver: General perception with iterative attention,

Reference 29

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Observation de8ccc1c-41fd-4bd9-8f38-743627820ab1 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Reference 30

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Observation 73e7c2fb-bfd5-4a5e-9e40-1db0c14d9957 · 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-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 31

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Observation 7959042e-25e6-4d28-af83-ab97e6f4d6b9 · outbound

This paper cites ISLES 2022: A multi-center MRI stroke lesion segmentation dataset,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens ISLES 2022: A multi-center MRI stroke lesion segmentation dataset,

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge,

Reference 33

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Observation 87243f9a-2a55-4600-8727-706bd81e8efc · outbound

This paper cites End-to-end prostate cancer detection in bpMRI via 3D CNNs. . . ,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens End-to-end prostate cancer detection in bpMRI via 3D CNNs. . . ,

Reference 34

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Observation a41dc001-322b-45b4-9926-a90202a5c1d7 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Variability of manual segmentation of the prostate in axial T2-weighted MRI: a multi-reader study,

Reference 35

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Observation c5b175ee-7e39-4b42-a3ce-df8a3070c276 · outbound

This paper cites Segment Anything in Medical Images and Videos: Benchmark and Deployment.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Segment Anything in Medical Images and Videos: Benchmark and Deployment

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Observation 23dd1a08-8926-4c3e-95e2-76a29b373663 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens An annotated test-retest collection of prostate multiparametric MRI,

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Observation c51b9fd6-48bc-4c0b-8c8f-7e55282393f6 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge,

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Observation 09df015c-157f-477f-ae03-b00d16abade4 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Automated segmentation of knee bone and cartilage combining statistical shape knowledge and CNNs: Data from the Osteoarthritis Initiative,

Reference 39

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Observation 55e8166c-dcd9-4e2a-9f1e-4e491218ef5c · outbound

This paper cites The osteoarthritis initiative: report on the design rationale for the MRI protocol for the knee,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens The osteoarthritis initiative: report on the design rationale for the MRI protocol for the knee,

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Observation e37b91e9-5fe4-4eee-97ce-6aa82d000858 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?,

Reference 41

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Observation c7cab697-081f-4478-bc70-c61223a53773 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease,

Reference 42

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Observation 7d321a4d-6c9e-465d-97c3-e0ea3c9a3848 · outbound

This paper cites TotalSegmentator MRI: robust sequence-independent segmentation of multiple anatomic structures in MRI,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens TotalSegmentator MRI: robust sequence-independent segmentation of multiple anatomic structures in MRI,

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Observation 070316d5-00ce-49f4-9cca-955e4883e385 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens CrossMoDA 2021 challenge: benchmark of cross-modality domain adaptation for vestibular schwannoma and cochlea segmentation,

Reference 44

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Observation 877f90ed-2abb-414d-82de-7786a4ec2bad · outbound

This paper cites Focused shape models for hip joint segmentation in 3D magnetic resonance images,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Focused shape models for hip joint segmentation in 3D magnetic resonance images,

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Observation 71e0bf52-aa14-4a51-a315-696d4ff15938 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images,

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Observation 4b9435e7-caa3-4418-bba5-e06bef97c462 · outbound

This paper cites AMOS: a large-scale abdominal multi-organ benchmark for versatile medical image segmentation,.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens AMOS: a large-scale abdominal multi-organ benchmark for versatile medical image segmentation,

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Observation 9af73129-fa0f-4a97-a5da-0239a7be46e4 · outbound

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

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Tumor radiomic heterogeneity: multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy,

Reference 48

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