Showing 1–12 of 12 results
/ Date/ Name
Nov 16, 2020Multi-Decoder Networks with Multi-Denoising Inputs for Tumor SegmentationMar 2, 2020A Question-Centric Model for Visual Question Answering in Medical ImagingOct 20, 2022Reproducibility of the Methods in Medical Imaging with Deep LearningDec 19, 2019Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image SegmentationOct 16, 2019End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor SegmentationDec 19, 2021QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsApr 22, 2021A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image SegmentationOct 11, 2019TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded NetworksDec 21, 2025A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planningMar 30, 2022Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task NetworkJul 7, 2016Whole-brain substitute CT generation using Markov random field mixture modelsMar 2, 2025Using Synthetic Images to Augment Small Medical Image Datasets