Title
High-Resolution Swin Transformer for Automatic Medical Image Segmentation Chen Wei Shenghan Ren Kaitai Guo Haihong Hu Jimin Liang ViT OOD MedIm 17 36 0 23 Jul 2022
Brain tumour segmentation with incomplete imaging data James K. Ruffle Samia Mohinta Robert J. Gray H. Hyare P. Nachev 24 8 0 13 Jun 2022
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting D. Bouget André Pedersen A. Jakola V. Kavouridis K. Emblem ... M. Witte A. Zwinderman P. D. W. Hamer O. Solheim Ingerid Reinertsen 26 21 0 29 Apr 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation Jiang Liu Srivathsa Pasumarthi B. Duffy Enhao Gong Keshav Datta Greg Zaharchuk ViT MedIm 11 53 0 28 Apr 2022
Negligible effect of brain MRI data preprocessing for tumor segmentation E. Kondrateva Polina Druzhinina A. Dalechina S. Zolotova A. Golanov B. Shirokikh Mikhail Belyaev Anvar Kurmukov 26 3 0 11 Apr 2022
Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning Sauman Das AI4CE 11 6 0 12 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 17 1,054 0 04 Jan 2022
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI Ramy A. Zeineldin Mohamed E. Karar Franziska Mathis-Ullrich Oliver Burgert 11 9 0 13 Dec 2021
Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma M. Rao 9 1 0 30 Nov 2021
Optimized U-Net for Brain Tumor Segmentation Michal Futrega Alexandre Milesi Michal Marcinkiewicz Pablo Ribalta SSeg 27 90 0 07 Oct 2021
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation Qiran Jia Hai Shu ViT MedIm 90 69 0 25 Sep 2021
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney W. Kuo D. Rossinelli G. Schulz R. Wenger S. Hieber B. Müller V. Kurtcuoglu 16 8 0 04 Aug 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging Sarthak Pati Siddhesh P. Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti ... D. Kontos Alexandros Karargyris Renato Umeton Peter Mattson Spyridon Bakas LM&MA MedIm 74 44 0 26 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020