Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SAM-Med2D
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 72 inbound Pith citation observations for arXiv:2308.16184.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:36:08.877252Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
21
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d1d45a39-655a-4d9d-9377-99ccd138662d · inbound
Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining cites this paper.
Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining SAM-Med2D
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:23:21.295201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d78fada-64f3-4606-9208-3c7334308615 · inbound
Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction cites this paper.
Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SAM-Med2D
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:56:50.175012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23665588-cf2e-4835-b481-2db54c1221b8 · inbound
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting cites this paper.
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting SAM-Med2D
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:18.991674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a02c28c-b71d-4faa-890c-537ab3e39ab7 · inbound
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions cites this paper.
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions SAM-Med2D
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:17:45.779518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 003103ce-1f36-458b-8970-73f24d6e243b · inbound
EchoONE: Segmenting Multiple echocardiography Planes in One Model cites this paper.
EchoONE: Segmenting Multiple echocardiography Planes in One Model SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:58:15.039957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50676353-f573-4d4a-86c4-19ec17a09b33 · inbound
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation cites this paper.
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation SAM-Med2D
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:56:44.825182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b29b807-abf6-4aa5-8c93-d374ed1b4b1a · inbound
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer cites this paper.
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer SAM-Med2D
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:43:39.532450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7347a76e-917e-48c6-9a73-472bdaaf7115 · inbound
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance cites this paper.
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance SAM-Med2D
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:43:08.443152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 575ffbcb-bfde-4e19-a2dd-8f9359e51e37 · inbound
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images cites this paper.
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images SAM-Med2D
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:39:08.795272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d188f34a-581d-4d4f-b728-68204b1dce51 · inbound
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation cites this paper.
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:59:06.939117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aeebf98-5c1d-4919-b40c-ac90651099ac · inbound
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation cites this paper.
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation SAM-Med2D
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:15:26.553066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfc083e7-8e97-4f5b-907a-cc3b3c6137ee · inbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis cites this paper.
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis SAM-Med2D
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:39:15.124296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87e3fd43-b3be-4980-9b09-de8d30562ca5 · inbound
Segment Anything for Histopathology cites this paper.
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:14:07.950468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99219e65-d483-4eb9-beae-8adaea91eeee · inbound
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2 cites this paper.
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2 SAM-Med2D
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:21:45.743002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ae6695e-eac8-43b9-9496-ea7ad6022937 · inbound
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images cites this paper.
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:26:28.748689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74759e52-1e3e-4bc2-b4e8-69a60bc35cfa · inbound
Diffusion-empowered AutoPrompt MedSAM cites this paper.
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:56:35.854247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d32fe2c6-d14a-4261-8c64-d158362983f0 · inbound
AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization cites this paper.
AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization SAM-Med2D
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:52:23.066855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b504a84e-2ab1-4494-a42d-eeaa5219d25f · inbound
Contour Field based Elliptical Shape Prior for the Segment Anything Model cites this paper.
Contour Field based Elliptical Shape Prior for the Segment Anything Model SAM-Med2D
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:36:08.877252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 867c3e85-e5ef-4514-b59a-c75e7a749ebd · inbound
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance cites this paper.
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance SAM-Med2D
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:13:07.487433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 008857fa-dad0-4fac-b977-b401ed55837d · inbound
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation cites this paper.
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation SAM-Med2D
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:42:23.081725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b64a160-cae7-4049-94e7-64f8df902f3d · inbound
Federated Client-tailored Adapter for Medical Image Segmentation cites this paper.
Federated Client-tailored Adapter for Medical Image Segmentation SAM-Med2D
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:02.736438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbc91a60-dd08-42c8-b651-d5aee9a2ce92 · inbound
RadSAM: Segmenting 3D radiological images with a 2D promptable model cites this paper.
RadSAM: Segmenting 3D radiological images with a 2D promptable model SAM-Med2D
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:23:03.163047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad306425-1006-455d-9d6c-8ef5afc26dbd · inbound
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis cites this paper.
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:43:20.654801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 999dcd30-ee52-4f26-bae5-49bba90441eb · inbound
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant cites this paper.
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant SAM-Med2D
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:58:00.195849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c977d3a-c450-4f9b-b5fa-57b3cd857662 · inbound
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review cites this paper.
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review SAM-Med2D
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:50:53.603243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0b20fb5-fbd1-4ad6-96a4-dcbfac05ac4f · inbound
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation cites this paper.
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation SAM-Med2D
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:51:05.329390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ee5a913-1da7-454b-ba61-4fb167bbd599 · inbound
Recent Advances in Medical Imaging Segmentation: A Survey cites this paper.
Recent Advances in Medical Imaging Segmentation: A Survey SAM-Med2D
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:38:10.624729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f86a7e7b-ea5d-4071-aa4d-3c0968f9768e · inbound
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation cites this paper.
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation SAM-Med2D
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:02:56.309193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e30660cd-a076-40ba-89cf-c8e894089cc3 · inbound
TAGS: 3D Tumor-Adaptive Guidance for SAM cites this paper.
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:34.079785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19b0f65d-12e3-4313-95bf-e6a6b9afbea4 · inbound
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework cites this paper.
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:06.764456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5674e4c-f7f5-4a3a-b07b-163d86acd37d · inbound
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research cites this paper.
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research SAM-Med2D
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:08:48.112862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7960ecf1-3257-45e0-bc3c-5bc8f5543cc1 · inbound
MedSeg-R: Medical Image Segmentation with Clinical Reasoning cites this paper.
MedSeg-R: Medical Image Segmentation with Clinical Reasoning SAM-Med2D
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:19:07.808299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93a986bf-4729-4003-8679-e0ddc71f477c · inbound
Segment Anything in Pathology Images with Natural Language cites this paper.
Segment Anything in Pathology Images with Natural Language SAM-Med2D
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:42:11.650049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfbbc645-db30-4f97-b798-0ea8d8495d89 · inbound
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation cites this paper.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation SAM-Med2D
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.668250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b997d4de-2f7e-477c-8081-c5440c8abc41 · inbound
PromptForSegCXR: Prompt-Driven Multi-Organ and Multi-Disease Segmentation in Chest X-rays using a Multi-stage Fusion Mechanism cites this paper.
PromptForSegCXR: Prompt-Driven Multi-Organ and Multi-Disease Segmentation in Chest X-rays using a Multi-stage Fusion Mechanism SAM-Med2D
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:08.515524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebc38c8c-2c7a-4478-988d-a077856cf845 · inbound
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey SAM-Med2D
Reference 178
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:02:25.561993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5ee5e54-5180-42e7-b770-8a69d0f2f3b2 · inbound
Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback cites this paper.
Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback SAM-Med2D
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:21:05.769491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bc5de3f-a477-475f-99f3-12d3b5432765 · inbound
SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2 cites this paper.
SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2 SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:58:57.117570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58a38ec1-3da6-427b-9e62-351a3c90d8b7 · inbound
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation cites this paper.
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SAM-Med2D
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:07:52.595841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 411f86a2-3541-4a96-af28-936493049532 · inbound
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model cites this paper.
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model SAM-Med2D
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:30:08.664066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 908d618c-f66f-4306-a434-7c84fe7fc360 · inbound
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation cites this paper.
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation SAM-Med2D
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:09:32.454359Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e903db99-829b-4a31-8ce2-3c638cbb061b · inbound
Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation cites this paper.
Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation SAM-Med2D
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:28:23.446287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4caac1fb-3697-4377-89d2-0d132daee462 · inbound
MAE-SAM2: Mask Autoencoder-Enhanced SAM2 for Clinical Retinal Vascular Leakage Segmentation cites this paper.
MAE-SAM2: Mask Autoencoder-Enhanced SAM2 for Clinical Retinal Vascular Leakage Segmentation SAM-Med2D
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:52:46.192331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d5842745-9efd-4bb9-a1c8-0711a4120a10 · inbound
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images cites this paper.
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images SAM-Med2D
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:08:33.455161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba863dfa-8781-4aa4-ae22-b59b4651fdb1 · inbound
Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy cites this paper.
Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy SAM-Med2D
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:06:37.964939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e753b082-36f2-4f06-a115-c20c37c2563f · inbound
Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy cites this paper.
Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy SAM-Med2D
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:20:11.037499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e62f9107-8176-4444-a748-30e36caba5ab · inbound
RABC-Net: Reliability-Aware Annotation-Free Skin Lesion Segmentation for Low-Resource Dermoscopy cites this paper.
RABC-Net: Reliability-Aware Annotation-Free Skin Lesion Segmentation for Low-Resource Dermoscopy SAM-Med2D
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T19:10:44.985995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4a7e5be4-6ea0-454a-b195-f0135d13d319 · inbound
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction cites this paper.
Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction SAM-Med2D
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:00:53.336599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 03c948f9-2b4b-4a18-a441-a99cfb7aefb5 · inbound
Weight Group-wise Post-Training Quantization for Medical Foundation Model cites this paper.
Weight Group-wise Post-Training Quantization for Medical Foundation Model SAM-Med2D
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:11:01.927818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 681dfcf9-b198-4ff4-bd24-783cb71cd2cd · inbound
Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models cites this paper.
Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models SAM-Med2D
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:56:01.506793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 609dbe5d-875b-4908-baab-9c17c6e07b6d · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SAM-Med2D
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:41:25.899393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1159198a-f133-4541-8618-b1fd569d89de · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SAM-Med2D
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T00:53:53.483218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2b1cdb02-026d-4ef8-a9ff-901294c8e777 · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SAM-Med2D
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T09:15:44.057261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f81d9e86-66ce-475d-b095-ab89cd5c2208 · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution SAM-Med2D
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T01:39:24.082971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 05570916-3568-4df2-aedf-7855feaf174e · inbound
Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.
Weakly Supervised Segmentation as Semantic-Based Regularization SAM-Med2D
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T20:29:28.006487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 97700acd-8b5e-4fcb-a1b3-28eb8f6fefa9 · inbound
Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.
Weakly Supervised Segmentation as Semantic-Based Regularization SAM-Med2D
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T21:55:05.818504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e9495d7b-5151-48c9-b552-4aa13eab3e8d · inbound
RoiMAM: Region-of-Interest Medical Attention Model for Efficient Vision-Language Understanding cites this paper.
RoiMAM: Region-of-Interest Medical Attention Model for Efficient Vision-Language Understanding SAM-Med2D
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:58:58.581403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 15925d37-8191-4e16-8a84-d977c5e42e86 · inbound
Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement cites this paper.
Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement SAM-Med2D
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:38:05.718757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fefec533-ed7f-4de7-9a78-aebd43b7c013 · inbound
MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation cites this paper.
MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation SAM-Med2D
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T18:33:50.892171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c351bd1-636e-45e0-b6f5-f1a8c7bb3234 · inbound
MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment cites this paper.
MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment SAM-Med2D
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:33:28.383068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 14fdffc9-44b6-4341-ab7c-756e4fe6edb0 · inbound
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models cites this paper.
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models SAM-Med2D
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:46:56.586125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5e31efd8-8237-4cc6-8ce7-ff73c9f7e633 · inbound
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models cites this paper.
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models SAM-Med2D
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:16:58.501769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e96d596-762f-4d7d-8115-2f0339132a5a · inbound
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline SAM-Med2D
Reference 99
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:57:23.198699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fbf96065-0f4b-4c4a-b35a-b847c0a3c4cf · inbound
MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models cites this paper.
MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models SAM-Med2D
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:29:37.762942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 307a8c43-79e6-4b3c-b039-a1a3fc6e1c41 · inbound
MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network cites this paper.
MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network SAM-Med2D
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:19:57.875838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa2ace3c-b53c-4c2d-94a7-8b39e6696de4 · inbound
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms SAM-Med2D
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T08:14:26.306784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cb724a02-26c8-4adc-b2c2-db2afd63afc0 · inbound
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms SAM-Med2D
Reference 148
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:45:30.034908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7ddbf564-cb7f-4e06-accf-7c09b55dc010 · inbound
Towards Voxel Spacing Consistency for Medical Image Segmentation cites this paper.
Towards Voxel Spacing Consistency for Medical Image Segmentation SAM-Med2D
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:05:41.121462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ba315f59-3982-4574-a359-cadffad219d8 · inbound
HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation cites this paper.
HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation SAM-Med2D
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T01:05:49.521018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d84bb43b-3b59-4787-a2b3-4dffc416a432 · inbound
Decoupling Language Guidance from Backbones for Text-Guided Medical Segmentation cites this paper.
Decoupling Language Guidance from Backbones for Text-Guided Medical Segmentation SAM-Med2D
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T02:44:21.812343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9777f384-2531-47fb-a6dc-4344abef412a · inbound
XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation cites this paper.
XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation SAM-Med2D
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:35:21.418058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 130ea24c-f429-445b-915e-e216e53f498a · inbound
MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation cites this paper.
MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation SAM-Med2D
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:11.151018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.