Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
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2411.12814
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Published
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25
medical
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SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
Paper • 2411.14525 • Published • 21 -
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 • 104 -
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
Paper • 2501.07171 • Published • 55 -
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Paper • 2501.18362 • Published • 23 -
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 • 11 -
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Paper • 2502.13233 • Published • 15 -
Preference Learning Unlocks LLMs' Psycho-Counseling Skills
Paper • 2502.19731 • Published • 7 -
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions
Paper • 2503.03278 • Published • 14 -
Multi Agent based Medical Assistant for Edge Devices
Paper • 2503.05397 • Published • 8 -
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Paper • 2503.17361 • Published • 5 -
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 • 2 -
MedSAM2: Segment Anything in 3D Medical Images and Videos
Paper • 2504.03600 • Published • 9 -
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 • 4 -
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
Paper • 2504.06908 • Published • 6 -
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
Paper • 2504.09689 • Published • 6 -
Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering
Paper • 2504.13519 • Published • 1 -
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging
Paper • 2504.10642 • Published • 2 -
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Paper • 2504.13820 • Published • 16 -
Clinical knowledge in LLMs does not translate to human interactions
Paper • 2504.18919 • Published • 26 -
MediAug: Exploring Visual Augmentation in Medical Imaging
Paper • 2504.18983 • Published • 7 -
Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information
Paper • 2505.06046 • Published • 15 -
Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
Paper • 2505.07086 • Published • 1 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 98 -
ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
Paper • 2505.08581 • Published • 9 -
Unifying Segment Anything in Microscopy with Multimodal Large Language Model
Paper • 2505.10769 • Published • 2 -
MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports
Paper • 2505.11733 • Published • 7 -
HISTAI: An Open-Source, Large-Scale Whole Slide Image Dataset for Computational Pathology
Paper • 2505.12120 • Published • 3 -
The Aloe Family Recipe for Open and Specialized Healthcare LLMs
Paper • 2505.04388 • Published • 26 -
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
Paper • 2505.14064 • Published • 18 -
An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning
Paper • 2505.19954 • Published -
Towards Scalable Language-Image Pre-training for 3D Medical Imaging
Paper • 2505.21862 • Published • 1 -
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
Paper • 2505.18087 • Published • 7 -
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
Paper • 2506.04405 • Published • 7 -
Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach
Paper • 2506.03238 • Published • 1 -
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
Paper • 2506.02327 • Published • 20 -
MIRIAD: Augmenting LLMs with millions of medical query-response pairs
Paper • 2506.06091 • Published • 9 -
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Paper • 2506.07044 • Published • 113 -
MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis
Paper • 2506.08900 • Published • 3 -
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy
Paper • 2506.09958 • Published • 1 -
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Paper • 2506.09513 • Published • 98 -
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper • 2506.09344 • Published • 28 -
Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs
Paper • 2506.16962 • Published • 10 -
An Agentic System for Rare Disease Diagnosis with Traceable Reasoning
Paper • 2506.20430 • Published • 8 -
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
Paper • 2506.21355 • Published • 10 -
Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training
Paper • 2506.21594 • Published • 8 -
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Paper • 2507.00316 • Published • 15 -
CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
Paper • 2506.23121 • Published • 2 -
Should We Still Pretrain Encoders with Masked Language Modeling?
Paper • 2507.00994 • Published • 78 -
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
Paper • 2507.03112 • Published • 31 -
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
Paper • 2507.05675 • Published • 26 -
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Paper • 2507.03698 • Published • 11 -
MedGemma Technical Report
Paper • 2507.05201 • Published • 14 -
Skywork-R1V3 Technical Report
Paper • 2507.06167 • Published • 71 -
UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography
Paper • 2507.14102 • Published -
SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging
Paper • 2507.15595 • Published • 4 -
RedDino: A foundation model for red blood cell analysis
Paper • 2508.08180 • Published • 2 -
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
Paper • 2508.11032 • Published • 2 -
End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
Paper • 2508.15746 • Published • 13 -
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
Paper • 2508.17326 • Published • 1 -
Baichuan-M2: Scaling Medical Capability with Large Verifier System
Paper • 2509.02208 • Published • 41 -
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
Paper • 2509.01360 • Published • 11 -
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
Paper • 2509.02379 • Published • 1 -
Does DINOv3 Set a New Medical Vision Standard?
Paper • 2509.06467 • Published • 36 -
Curia: A Multi-Modal Foundation Model for Radiology
Paper • 2509.06830 • Published • 20 -
EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
Paper • 2509.11648 • Published • 1 -
ROOM: A Physics-Based Continuum Robot Simulator for Photorealistic Medical Datasets Generation
Paper • 2509.13177 • Published • 2 -
SAIL-VL2 Technical Report
Paper • 2509.14033 • Published • 44 -
MedReseacher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework
Paper • 2508.14880 • Published • 15