Papers
FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
Huihan Wang, Zhiwen Yang, Hui Zhang et al.
FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
Xinghe Xie, Luyi Han, Yue Sun et al.
FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation
Xiaoran Qi, Guoning Zhang, Jianghao Wu et al.
Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss
Maja Schlereth, Moritz Schillinger, Katharina Breininger
Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
Ziheng Wang, Shuran Yang, Wen Chen et al.
Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models
Peiran Wang, Linjie Tong, Jian Wu et al.
Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning
Jungwook Lee, Xuanang Xu, Daeseung Kim et al.
F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
Lumin Chen, Zhiying Wu, Tianye Lei et al.
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
Xing Shen, Justin Szeto, Mingyang Li et al.
Exploring the feasibility of zero-shot super-resolution in preclinical imaging
Omar A. M. Gharib, Samuel W. Remedios, Blake E. Dewey et al.
Exploring the Design Space of 3D MLLMs for CT Report Generation
Mohammed Baharoon, Jun Ma, Congyu Fang et al.
Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data
Qingjie Zeng, Huan Luo, Xinke Ma et al.
Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography
Seungeun Lee, Jaeyoung Kim, Kyungtae Kang et al.
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto et al.
Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
Ninghan Fan, Ming Kong, Jing Huang et al.
Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models
Shuting Xu, Junlin Hou, Hao Chen
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
Sheethal Bhat, Bogdan Georgescu, Adarsh Bhandary Panambur et al.
EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration
Haiqiao Wang, Yi Wang
Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System
Kazuki Suehara, Yi Gu, Yoshito Otake et al.
ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation
Raneem Toman, Venkataraman Subramanian, Sharib Ali
Equitable Federated Learning with NCA
Nick Lemke, Mirko Konstantin, Henry John Krumb et al.
Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
Zhisong Wang, Yiwen Ye, Ziyang Chen et al.
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
Zheng Wang, Hong Liu, Zheng Wang et al.
Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
Weiping Lin, Runchen Zhu, Wentai Hou et al.
Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
Haoyue Guan, Yuwei Dai, Shadi Afyouni et al.