No New-Net

27 September 2018

Fabian Isensee

Philipp Kickingereder

Klaus H. Maier-Hein

Papers citing "No New-Net"

50 / 110 papers shown

Title
A review of deep learning-based information fusion techniques for multimodal medical image classification Yi-Hsuan Li Mostafa EL HABIB DAHO Pierre-Henri Conze Rachid Zeghlache Hugo Le Boité R. Tadayoni B. Cochener M. Lamard G. Quellec 30 31 0 23 Apr 2024
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge Hongwei Bran Fernando Navarro Ivan Ezhov Amirhossein Bayat Dhritiman Das ... E. Konukoglu Andras Jakab Spyridon Bakas Leo Joskowicz Bjoern H. Menze UQCV 37 7 0 19 Mar 2024
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI Lintao Zhang Mengqi Wu Lihong Wang David C. Steffens G. Potter Mingxia Liu MedIm 21 0 0 13 Mar 2024
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images Subin Sahayam Umarani Jayaraman 19 1 0 02 Jan 2024
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound Chaoyu Chen Xin Yang Yuhao Huang Wenlong Shi Yan Cao ... Kejuan Yue Yuanji Zhang Yi Xiong Dong Ni Weijun Huang 3DH 19 0 0 30 Oct 2023
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation Nhat-Tan Bui Dinh-Hieu Hoang Quang-Thuc Nguyen Minh-Triet Tran Ngan Le 16 25 0 06 Sep 2023
Active Inference-Based Optimization of Discriminative Neural Network Classifiers Faezeh Fallah 29 0 0 04 Jun 2023
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks A. Dobshik S. Verbitskiy I. Pestunov K. Sherman Yuriy Sinyavskiy A. Tulupov V. Berikov 16 6 0 17 Jan 2023
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary? Bruno Machado Pacheco G. Cassia Danilo Silva 3DV 13 10 0 14 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 22 1 0 13 Dec 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 24 19 0 08 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta J. Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 16 7 0 31 Oct 2022
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance Hongyi Wang Lanfen Lin Hongjie Hu Qingqing Chen Yinhao Li Yutaro Iwamoto X. Han Yen-Wei Chen Ruofeng Tong 3DV 28 0 0 26 Oct 2022
The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$ Sofie Tilborghs J. Bertels D. Robben Dirk Vandermeulen F. Maes 21 5 0 19 Jul 2022
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand José Gerardo Suárez-García E. Moreno-Barbosa B. D. C. Alonso 11 0 0 15 Jul 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
Medical Image Segmentation on MRI Images with Missing Modalities: A Review Reza Azad Nika Khosravi Mohammad Dehghanmanshadi Julien Cohen-Adad Dorit Merhof 24 38 0 11 Mar 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation Pooya Ashtari Diana Sima L. De Lathauwer D. Sappey-Marinier F. Maes Sabine Van Huffel ViT MedIm 26 35 0 24 Feb 2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging Haozhe Jia Chao Bai Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 6 9 0 10 Feb 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation Dingwen Zhang Guohai Huang Qiang Zhang Jungong Han Junwei Han Yizhou Yu 11 217 0 07 Jan 2022
On the relationship between calibrated predictors and unbiased volume estimation Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 36 11 0 23 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 17 44 0 19 Dec 2021
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT -- An Investigation of Potential Improvement Tristan M. Gottschalk Andreas K. Maier Florian Kordon Björn Kreher 16 7 0 03 Dec 2021
Acquisition-invariant brain MRI segmentation with informative uncertainties Pedro Borges Richard Shaw Thomas Varsavsky Kerstin Kläser David Thomas I. Drobnjak Sebastien Ourselin M. Jorge Cardoso OOD 33 3 0 07 Nov 2021
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties Pedro Borges Richard Shaw Thomas Varsavsky Kerstin Kläser David Thomas I. Drobnjak Sebastien Ourselin M. Jorge Cardoso OOD 29 0 0 04 Nov 2021
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation Junjun He Jin Ye Cheng Li Diping Song Wanli Chen Shanshan Wang Lixu Gu Yu Qiao 13 3 0 26 Sep 2021
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application B. Shirokikh A. Dalechina A. Shevtsov Egor Krivov V. Kostjuchenko A. Durgaryan M. Galkin A. Golanov Mikhail Belyaev 10 6 0 21 Aug 2021
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation D. Cahall Ghulam Rasool N. Bouaynaya Hassan M. Fathallah-Shaykh 24 6 0 15 Aug 2021
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Sotirios A. Tsaftaris Douglas L. Arnold Tal Arbel AI4CE 19 2 0 02 Aug 2021
Knowledge distillation from multi-modal to mono-modal segmentation networks Minhao Hu Matthis Maillard Ya-Qin Zhang Tommaso Ciceri Giammarco La Barbera Isabelle Bloch Pietro Gori 13 126 0 17 Jun 2021
Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation Ashwin Nalwade Jackie Kisa 15 2 0 24 May 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 14 14 0 24 May 2021
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation Minh H. Vu Gabriella Norman T. Nyholm Tommy Löfstedt MedIm OOD 16 14 0 22 Apr 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images Saverio Vadacchino Raghav Mehta N. Sepahvand Brennan Nichyporuk James J. Clark Tal Arbel MedIm 14 14 0 30 Mar 2021
CateNorm: Categorical Normalization for Robust Medical Image Segmentation Junfei Xiao Lequan Yu Zongwei Zhou Yutong Bai Lei Xing Alan Yuille Yuyin Zhou OOD MedIm 16 7 0 29 Mar 2021
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future Teofilo E. Zosa OOD 16 0 0 27 Mar 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 27 24 0 25 Mar 2021
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation João B. S. Carvalho J. Santinha DJordje Miladinović J. M. Buhmann SSeg 21 0 0 22 Mar 2021
Invertible Residual Network with Regularization for Effective Medical Image Segmentation Kashu Yamazaki V. Rathour T. Hoang Ngan Le MedIm 39 6 0 16 Mar 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
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation Xing Li Haichun Yang Jiaxin He Aadarsh Jha Agnes B. Fogo L. Wheless Shilin Zhao Yuankai Huo 17 3 0 17 Feb 2021
Belief function-based semi-supervised learning for brain tumor segmentation Ling Huang S. Ruan Thierry Denoeux 11 22 0 29 Jan 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction R. Agravat M. Raval 24 22 0 26 Jan 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms D. Bouget André Pedersen Sayied Abdol Mohieb Hosainey O. Solheim Ingerid Reinertsen 42 24 0 19 Jan 2021
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture V. K. Anand Sanjeev Grampurohit P. Aurangabadkar Avinash Kori Mahendra Khened R. S. Bhat Ganapathy Krishnamurthi 11 29 0 05 Jan 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 8 11 0 02 Jan 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task Haozhe Jia Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 19 45 0 30 Dec 2020