nnU-Net for Brain Tumor Segmentation

2 November 2020

Klaus H. Maier-Hein

Papers citing "nnU-Net for Brain Tumor Segmentation"

27 / 77 papers shown

Title
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning Ze Liu Jia Wei Rui Li 14 0 0 26 Aug 2022
Extending nnU-Net is all you need Fabian Isensee Constantin Ulrich Tassilo Wald Klaus H. Maier-Hein SSeg 14 31 0 23 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation Hao Li Yang Nan Javier Del Ser Guang Yang EDL OOD UQCV 6 39 0 11 Aug 2022
Large-Kernel Attention for 3D Medical Image Segmentation Hao Li Yang Nan Javier Del Ser Guang Yang MedIm 25 25 0 19 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
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
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation Ngoc-Vuong Ho Tan H. Nguyen Gia-Han Diep Ngan Le Binh-Son Hua 3DPC 28 23 0 16 Mar 2022
A Novel Framework for Brain Tumor Detection Based on Convolutional Variational Generative Models W. Salama A. Shokry MedIm 12 28 0 20 Feb 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 8 1 0 20 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 1,058 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
Extending nn-UNet for brain tumor segmentation Huan Minh Luu Sung-Hong Park 17 101 0 09 Dec 2021
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation Himashi Peiris Munawar Hayat Zhaolin Chen Gary Egan Mehrtash Harandi ViT MedIm 14 123 0 26 Nov 2021
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation Hadas Ben-Atya Ori Rajchert L. Goshen Moti Freiman 18 4 0 25 Nov 2021
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs M. R. Siddiquee Andriy Myronenko 20 17 0 01 Nov 2021
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation Bethany H. Thompson G. D. Caterina J. Voisey 26 31 0 16 Oct 2021
Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining Mariia Dobko Danylo-Ivan Kolinko Ostap Viniavskyi Yurii Yelisieiev ViT MedIm 15 8 0 15 Oct 2021
Optimized U-Net for Brain Tumor Segmentation Michal Futrega Alexandre Milesi Michal Marcinkiewicz Pablo Ribalta SSeg 29 91 0 07 Oct 2021
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge Jae Won Choi 37 10 0 02 Oct 2021
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features Sveinn Pálsson Stefano Cerri Koen van Leemput 37 11 0 25 Sep 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 23 25 0 09 Jul 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation Andre Liew C. Lee B. Lan Maxine Tan 14 11 0 08 Jul 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient Florian Kofler Ivan Ezhov Fabian Isensee F. Balsiger Christoph Berger ... C. Zimmer D. Ankerst Jan Kirschke Benedikt Wiestler Bjoern H. Menze 25 51 0 10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 23 53 0 09 Mar 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 2021
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation? Iulian Emil Tampu Neda Haj-Hosseini Anders Eklund 35 9 0 26 Oct 2020
Towards annotation-efficient segmentation via image-to-image translation Eugene Vorontsov Pavlo Molchanov Christopher Beckham Jan Kautz Samuel Kadoury MedIm 15 13 0 02 Apr 2019