Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
Paper
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2411.12814
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Published
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26
medical
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SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
Paper • 2411.14525 • Published • 22 -
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
Paper • 2412.04106 • Published • 6 -
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
Paper • 2412.17780 • Published • 5 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 101 -
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
Paper • 2501.07171 • Published • 56 -
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Paper • 2501.18362 • Published • 21 -
A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation
Paper • 2502.00314 • Published • 3 -
Current Pathology Foundation Models are unrobust to Medical Center Differences
Paper • 2501.18055 • Published • 2 -
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Paper • 2502.05282 • Published -
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
Paper • 2502.09838 • Published • 10 -
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Paper • 2502.13233 • Published • 14 -
Preference Learning Unlocks LLMs' Psycho-Counseling Skills
Paper • 2502.19731 • Published • 6 -
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions
Paper • 2503.03278 • Published • 12 -
Multi Agent based Medical Assistant for Edge Devices
Paper • 2503.05397 • Published • 7 -
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Paper • 2503.17361 • Published • 4 -
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
Paper • 2504.00869 • Published • 10 -
Medical large language models are easily distracted
Paper • 2504.01201 • Published • 3 -
MedSAM2: Segment Anything in 3D Medical Images and Videos
Paper • 2504.03600 • Published • 8 -
Clinical ModernBERT: An efficient and long context encoder for biomedical text
Paper • 2504.03964 • Published • 5 -
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Paper • 2504.08635 • Published • 2 -
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
Paper • 2504.06908 • Published • 3