No New-Net

27 September 2018

Fabian Isensee

Philipp Kickingereder

Klaus H. Maier-Hein

Papers citing "No New-Net"

50 / 110 papers shown

Title
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 11 36 0 30 Dec 2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 17 26 0 12 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 24 88 0 28 Nov 2020
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation Minh H. Vu T. Nyholm Tommy Löfstedt MedIm 12 18 0 16 Nov 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 27 31 0 06 Nov 2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective Shao-Cheng Wen Yu-Jen Chen Zihao Liu Wujie Wen Xiaowei Xu Yiyu Shi Tsung-Yi Ho Qianjun Jia Meiping Huang Zhuang Jian MedIm 27 5 0 04 Nov 2020
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation Chenggang Lyu Hai Shu 9 31 0 04 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge Lucas Fidon Sebastien Ourselin Tom Kamiel Magda Vercauteren OOD MedIm 13 41 0 03 Nov 2020
nnU-Net for Brain Tumor Segmentation Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Vollmuth Klaus H. Maier-Hein 14 292 0 02 Nov 2020
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index Tom Eelbode J. Bertels Maxim Berman Dirk Vandermeulen F. Maes R. Bisschops Matthew B. Blaschko 14 255 0 26 Oct 2020
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
Context Aware 3D UNet for Brain Tumor Segmentation Parvez Ahmad Saqib Qamar Linlin Shen Adnan Saeed SSeg 16 34 0 25 Oct 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies Eva Schnider Antal Huck-Horváth G. Rauter A. Zam M. Müller-Gerbl Philippe C. Cattin 14 10 0 14 Oct 2020
Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture D. Bouget André Pedersen Sayied Abdol Mohieb Hosainey J. Vanel O. Solheim Ingerid Reinertsen 19 15 0 14 Oct 2020
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI T. Mathai Yi Wang N. Cross MedIm 19 2 0 12 Oct 2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation Jeya Maria Jose Valanarasu Vishwanath A. Sindagi I. Hacihaliloglu Vishal M. Patel SSeg 17 167 0 04 Oct 2020
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation Laura Mora Ballestar Verónica Vilaplana 24 8 0 24 Sep 2020
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss Jiabo He S. Erfani S. Wijewickrema S. O'Leary K. Ramamohanarao 7 3 0 23 Sep 2020
Brain tumour segmentation using cascaded 3D densely-connected U-net M. Ghaffari Arcot Sowmya Ruth Oliver 3DV 20 10 0 16 Sep 2020
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data Theresa Neubauer M. Wimmer Astrid Berg David Major Dimitrios Lenis T. Beyer J. Saponjski Katja Bühler 18 7 0 28 Aug 2020
First U-Net Layers Contain More Domain Specific Information Than The Last Ones B. Shirokikh Ivan Zakazov A. Chernyavskiy Irina Fedulova Mikhail Belyaev OOD 11 19 0 17 Aug 2020
Multi-modal segmentation of 3D brain scans using neural networks Jonathan Zopes Moritz Platscher S. Paganucci C. Federau 11 11 0 11 Aug 2020
Learning To Pay Attention To Mistakes Moucheng Xu N. Oxtoby Daniel C. Alexander Joseph Jacob 6 6 0 29 Jul 2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation B. Shirokikh A. Shevtsov Anvar Kurmukov A. Dalechina Egor Krivov V. Kostjuchenko A. Golanov Mikhail Belyaev 14 20 0 20 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 227 0 18 Jul 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks Guotai Wang Tao Song Q. Dong Mei Cui Ning Huang Shaoting Zhang DiffM MedIm 30 73 0 07 Jul 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 11 212 0 06 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput M. Raval 3DV 28 12 0 31 May 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation Raghav Mehta Angelos Filos Y. Gal Tal Arbel UQCV 20 16 0 28 May 2020
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging Feifan Wang 11 5 0 13 May 2020
A review: Deep learning for medical image segmentation using multi-modality fusion Tongxue Zhou S. Ruan S. Canu 18 504 0 22 Apr 2020
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts Gaurav Fotedar Nima Tajbakhsh Shilpa P. Ananth Xiaowei Ding 9 17 0 15 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Ali Gholipour OOD 12 9 0 12 Apr 2020
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation Shuhang Wang Szu-Yeu Hu Eugene Cheah Xiaohong Wang Jingchao Wang ... Qian Li Shinn-Huey S Chou C. Lehman Viksit Kumar A. Samir SSeg 14 28 0 07 Apr 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation Mehrdad Noori Ali Bahri K. Mohammadi 3DV 11 93 0 04 Apr 2020
Vox2Vox: 3D-GAN for Brain Tumour Segmentation M. Cirillo David Abramian Anders Eklund 21 111 0 19 Mar 2020
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation Hanxiao Zhang Jingxiong Li Mali Shen Yaqi Wang Guang-Zhong Yang 3DV 11 7 0 03 Mar 2020
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks Georg Hille Johannes Steffen M. Dünnwald Mathias Becker S. Saalfeld Klaus D. Tönnies 6 6 0 08 Jan 2020
Robustness of Brain Tumor Segmentation Sabine Müller Joachim Weickert N. Graf AAML OOD 20 5 0 24 Dec 2019
Multimodal Self-Supervised Learning for Medical Image Analysis Aiham Taleb C. Lippert T. Klein Moin Nabi SSL 13 95 0 11 Dec 2019
ModelHub.AI: Dissemination Platform for Deep Learning Models A. Hosny M. Schwier Christoph Berger Evin Pınar Örnek Mehmet Turan ... U. Hoffmann Bjoern H. Menze Spyridon Bakas Andrey Fedorov Hugo J. W. L. Aerts VLM 9 19 0 26 Nov 2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction Shuo Wang Chengliang Dai Yuanhan Mo Elsa D. Angelini Yike Guo Wenjia Bai 9 24 0 19 Nov 2019
Optimization with soft Dice can lead to a volumetric bias J. Bertels D. Robben Dirk Vandermeulen P. Suetens 16 23 0 06 Nov 2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks Minh H. Vu T. Nyholm Tommy Löfstedt 16 32 0 11 Oct 2019
ErrorNet: Learning error representations from limited data to improve vascular segmentation Nima Tajbakhsh B. Lai Shilpa P. Ananth Xiaowei Ding MedIm 26 16 0 10 Oct 2019
Semi-Supervised Variational Autoencoder for Survival Prediction Sveinn Pálsson Stefano Cerri Andrea Dittadi Koen van Leemput DRL 22 5 0 10 Oct 2019
Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net Markus Frey Maria Shugrina 16 17 0 04 Oct 2019
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks Karin A. van Garderen M. Smits S. Klein MedIm 17 7 0 25 Sep 2019
Brain Tumor Segmentation and Survival Prediction R. Agravat M. Raval 22 52 0 20 Sep 2019
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction Feifan Wang Runzhou Jiang Liqin Zheng Chun Meng B. Biswal 23 7 0 15 Sep 2019