Papers
FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation
Jin Ye, Yanzhou Su, Yicheng Wu et al.
FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI
Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva et al.
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang et al.
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
Shahad Hardan, Darya Taratynova, Abdelmajid Essofi et al.
FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections
Simon Johannes Joham, Franz Thaler, Arnela Hadzic et al.
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
Chetan Madan, Aarjav Satia, Soumen Basu et al.
FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality
Wenjin Zhong, Cong Cong, Zihan Wang et al.
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
Benjamin D. Killeen, Liam J. Wang, Blanca Iñígo et al.
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian et al.
Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
Xiaoyan Kui, Qianmu Xiao, Qinsong Li et al.
Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
Haifeng Wang, Zehua Ren, Heng Chang et al.
Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
Chenjun Li, Laurin Lux, Alexander H. Berger et al.
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model
Shripad Pate, Aiman Farooq, Suvrankar Datta et al.
FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
Farid Tasharofi, Fuxin Fan, Melika Qahqaie et al.
FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction
Tao Song, Fang Nie, Yi Guo et al.
Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation
Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig et al.
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
Yingcheng Liu, Peiqi Wang, Sebastian Diaz et al.
Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions
Sue Min Cho, Winnie Wu, Ethan Kilmer et al.
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation
Haolong Jin, Shenglin Liu, Cong Cong et al.
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities
Yukun Shi, Meiting Xue, Yan Zeng et al.
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo et al.
Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images
Xingyu Huang, Shuo Wang, Chengcai Liu et al.