M^2F: Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis
Visual Modalities based Multimodal Fusion for Surgical Phase Recognition
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Vessel Segmentation via Link Prediction of Graph Neural Networks
A Bagging Strategy-Based Multi-Scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset
Liver Segmentation Quality Control in Multi-Sequence MR Studies
Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI
Gabor Filter-Embedded U-Net with Transformer-based Encoding for Biomedical Image Segmentation
Learning-based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study
Coordinate Translator for Learning Deformable Medical Image Registration
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Improve Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT scans.