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Showing 351400 of 4513 papers

TitleStatusHype
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information BottleneckCode1
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA ImagesCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language ModelsCode1
Learning what and where to attendCode1
Global Explainability of GNNs via Logic Combination of Learned ConceptsCode1
A Mobile App for Wound Localization using Deep LearningCode1
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion ModelsCode1
HateCheck: Functional Tests for Hate Speech Detection ModelsCode1
HC-LLM: Historical-Constrained Large Language Models for Radiology Report GenerationCode1
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMsCode1
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical StudyCode1
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical ScenariosCode1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM ModelCode1
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel LearningCode1
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding ModelsCode1
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data PerspectiveCode1
Automatic ECG classification using discrete wavelet transform and one-dimensional convolutional neural networkCode1
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine LearningCode1
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspectiveCode1
Benchmarking Robustness of Text-Image Composed RetrievalCode1
Improving Commonsense in Vision-Language Models via Knowledge Graph RiddlesCode1
Attention-aware non-rigid image registration for accelerated MR imagingCode1
Augmenting Chest X-ray Datasets with Non-Expert AnnotationsCode1
3MDBench: Medical Multimodal Multi-agent Dialogue BenchmarkCode1
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and SegmentationCode1
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning ModelsCode1
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical DiagnosisCode1
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-TrainingCode1
A Diagnostic Study of Explainability Techniques for Text ClassificationCode1
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learningCode1
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease DiagnosisCode1
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels SegmentationCode1
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and DiagnosisCode1
Learning Medical Image Denoising with Deep Dynamic Residual Attention NetworkCode1
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)Code1
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modelingCode1
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based InferenceCode1
Linear Connectivity Reveals Generalization StrategiesCode1
ListOps: A Diagnostic Dataset for Latent Tree LearningCode1
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse DiffusionCode1
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report GenerationCode1
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question AnsweringCode1
LSM-YOLO: A Compact and Effective ROI Detector for Medical DetectionCode1
Lumbar spine segmentation in MR images: a dataset and a public benchmarkCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
Benchmarking saliency methods for chest X-ray interpretationCode1
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