Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features

3 December 2018

Papers citing "Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features"

44 / 44 papers shown

Title
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 29 7 0 19 Mar 2024
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy H. Hooshangnejad Xue Feng Gaofeng Huang Rui Zhang Quan Chen Kai Ding 28 5 0 21 Feb 2024
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images Subin Sahayam Umarani Jayaraman 9 1 0 02 Jan 2024
Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging Saeko Sasuga Akira Kudo Yoshiro Kitamura S. Iizuka E. Simo-Serra Atsushi Hamabe Masayuki Ishii Ichiro Takemasa 8 0 0 08 Dec 2023
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers Huafeng Liu Benjamin Dowdell Todd Engelder Zarah Pulmano Nicolas Osa Arko Barman MedIm 14 1 0 09 Nov 2023
AeroPath: An airway segmentation benchmark dataset with challenging pathology Karen H Støverud D. Bouget André Pedersen H. O. Leira T. Langø E. F. Hofstad 31 6 0 02 Nov 2023
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence I. Sobirov 13 0 0 31 May 2023
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images Eva Schnider Antal Huck M. Toranelli G. Rauter A. Zam M. Müller-Gerbl Philippe C. Cattin 17 1 0 19 Aug 2022
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images Zeba Ghaffar Pir Masoom Shah Hikmat Khan Syed Farhan Alam Zaidi Abdullah Gani I. Khan M. A. Shah S. M. Fakhrul Islam 17 3 0 01 Jul 2022
CNN-based fully automatic wrist cartilage volume quantification in MR Image Nikita Vladimirov E. Brui A. Levchuk Vladimir A. Fokin A. Efimtcev D. Bendahan 14 0 0 22 Jun 2022
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients Wen Tang Haoyue Zhang Pengxin Yu Han Kang Rongguo Zhang 23 6 0 13 Jun 2022
Future Artificial Intelligence tools and perspectives in medicine A. Chaddad Y. Katib Lama Hassan 8 8 0 04 Jun 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation Minh-Trieu Tran Viet-Khoa Vo-Ho Ngan T. H. Le 3DPC MedIm 20 13 0 19 May 2022
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis I. Sobirov Numan Saeed Mohammad Yaqub MedIm 9 2 0 05 May 2022
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation Wenbo Zhang Guang Yang He Huang Weiji Yang Xiaomei Xu Yongkai Liu Xiaobo Lai 15 101 0 21 Mar 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 15 23 0 16 Mar 2022
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion Ziqi Huang Li Lin Pujin Cheng Linkai Peng Xiaoying Tang MedIm 11 9 0 09 Mar 2022
Improving Across-Dataset Brain Tissue Segmentation Using Transformer Vishwanatha M. Rao Zihang Wan Soroush Arabshahi David J. Ma Pin-Yu Lee Ye Tian Xuzhe Zhang Andrew F. Laine Jia Guo ViT MedIm 17 11 0 21 Jan 2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? I. Sobirov Otabek Nazarov Hussain Alasmawi Mohammad Yaqub ViT MedIm 17 11 0 17 Jan 2022
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 27 6 0 10 Nov 2021
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction Subhashish Banerjee Sushmita Mitra L. Hall 20 2 0 03 Sep 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework Xi Guan Guang Yang Jianming Ye Weiji Yang Xiaomei Xu Weiwei Jiang Xiaobo Lai 11 110 0 26 Jul 2021
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation Mikhail (Misha) Usvyatsov Anastasia Makarova R. Ballester-Ripoll M. Rakhuba Andreas Krause Konrad Schindler 11 5 0 29 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 8 22 0 22 May 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 19 24 0 25 Mar 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction Mobarakol Islam Navodini Wijethilake Hongliang Ren 13 32 0 17 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 23 51 0 10 Mar 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding D. Bouget André Pedersen J. Vanel H. O. Leira T. Langø 11 27 0 11 Feb 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction R. Agravat M. Raval 16 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 25 24 0 19 Jan 2021
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 9 25 0 12 Dec 2020
Context Aware 3D UNet for Brain Tumor Segmentation Parvez Ahmad Saqib Qamar Linlin Shen Adnan Saeed SSeg 11 34 0 25 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 11 15 0 14 Oct 2020
Realistic Image Normalization for Multi-Domain Segmentation Pierre-Luc Delisle Benoit Anctil-Robitaille Christian Desrosiers H. Lombaert 23 17 0 29 Sep 2020
Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain WholeTumor Segmentation A. Pandya Catherine Samuel N. Patel Vaibhavkumar Patel Akilan Thangarajah 17 1 0 13 Sep 2020
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients Tao Zhou H. Fu Yu Zhang Changqing Zhang Xiankai Lu Jianbing Shen Ling Shao 28 21 0 01 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput M. Raval 3DV 20 12 0 31 May 2020
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction Xiaoqing Guo Chen Yang P. Lam P. Woo Yixuan Yuan 23 19 0 16 Dec 2019
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction Mehdi Amian Mohammadreza Soltaninejad 17 32 0 19 Nov 2019
Brain Tumor Segmentation and Survival Prediction R. Agravat M. Raval 14 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 15 7 0 15 Sep 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern H. Menze 30 1,600 0 05 Nov 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 245 1,489 0 30 Nov 2016