ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for
Multiple Sclerosis Lesion Segmentation with Missing Modalities

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities

7 March 2022

Hao Li

Papers citing "ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities"

5 / 5 papers shown

Title
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation Badhan Kumar Das Ajay Singh Gengyan Zhao Han Liu Thomas J. Re Dorin Comaniciu Eli Gibson Andreas Maier ViT MedIm 26 0 0 13 May 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction Yingxue Xu Fengtao Zhou Chenyu Zhao Yihui Wang Can Yang Hao Chen VLM OffRL 54 0 0 03 Mar 2025
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging Badhan Kumar Das Gengyan Zhao Han Liu Thomas J. Re Dorin Comaniciu Eli Gibson Andreas Maier ViT MedIm 60 1 0 15 Jan 2025
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI Tianyuan Yao N. Newlin Praitayini Kanakaraj V. Nath L. Cai Karthik Ramadass K. Schilling Bennett A. Landman Yuankai Huo 31 3 0 29 Mar 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 32 16 0 08 Feb 2023