DiffuSeg: Domain-driven Diffusion for Medical Image Segmentation
Zhang L. et al, (2025), IEEE Journal of Biomedical and Health Informatics
Preface
Ali S. et al, (2025), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15199 LNCS, v - vi
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST.
Wu F. and Papiez BW., (2025), CoRR, abs/2501.14685
MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching
Wu F. et al, (2024), IEEE Transactions on Medical Imaging
MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching
Wu F. et al, (2024), IEEE Transactions on Medical Imaging
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.
Mo Y. et al, (2024), Medical image analysis, 95
VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays.
Chen Y. et al, (2024), Sci Rep, 14
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis.
Bo Z. et al, (2024), MIUA (2), 14860, 398 - 413
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis.
Bo Z. et al, (2024), abs/2406.09980
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery.
Zheng Y. et al, (2024), abs/2409.00163
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery.
Zheng Y. et al, (2024), CaPTion@MICCAI, 15199, 176 - 189
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis.
Zheng J-Q. et al, (2024), CoRR, abs/2407.07295
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.
Kayser M. et al, (2024), EMNLP, 18891 - 18919
GRAIL 2023 Preface
Ahmadi SA. et al, (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14373 LNCS, v - vi
KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation.
Srikijkasemwat N. et al, (2024), CoRR, abs/2412.07526
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss.
Li J. et al, (2024), MIUA (2), 14860, 216 - 226
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss.
Li J. et al, (2024), abs/2406.15172