Cascaded V-Net using ROI masks for brain tumor segmentation

Cascaded V-Net using ROI masks for brain tumor segmentation

30 December 2018

Adrià Casamitjana

Bjoern H. Menze

Verónica Vilaplana

Papers citing "Cascaded V-Net using ROI masks for brain tumor segmentation"

18 / 18 papers shown

Title
Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi Ahror Belaid Douraied BEN SALEM Pierre-Henri Conze MedIm 30 23 0 29 Jul 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks Ragnhild Holden Helland Alexandros Ferles André Pedersen I. Kommers H. Ardon ... O. Solheim P. D. W. Hamer Ingerid Reinertsen R. Eijgelaar D. Bouget 26 16 0 18 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 25 2 0 10 Apr 2023
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients J. Nalepa Krzysztof Kotowski B. Machura Szymon Adamski O. Bożek ... Marek Strzelczak Lukasz Zarudzki A. Krason F. Arcadu J. Tessier 21 18 0 03 Sep 2022
High-Resolution Swin Transformer for Automatic Medical Image Segmentation Chen Wei Shenghan Ren Kaitai Guo Haihong Hu Jimin Liang ViT OOD MedIm 22 36 0 23 Jul 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 19 55 0 28 Apr 2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss Jinbao Wang Guoyang Xie Yawen Huang Yefeng Zheng Yaochu Jin Feng Zheng MedIm 37 9 0 29 Jan 2022
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning Partoo Vafaeikia M. Wagner U. Tabori B. Ertl-Wagner Farzad Khalvati 9 6 0 29 Nov 2021
Optimized U-Net for Brain Tumor Segmentation Michal Futrega Alexandre Milesi Michal Marcinkiewicz Pablo Ribalta SSeg 32 91 0 07 Oct 2021
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning Tongan Cai Haomiao Ni Ming-Chieh Yu Xiaolei Huang K. Wong John Volpi Jianmin Wang Stephen T. C. Wong 15 14 0 24 Sep 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities Yixin Wang Yang Zhang Yang Liu Zihao Lin Jiang Tian Cheng Zhong Zhongchao Shi Jianping Fan Zhiqiang He 24 68 0 28 Jun 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation Dejan Štepec D. Skočaj MedIm 35 12 0 28 Apr 2021
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 22 26 0 12 Dec 2020
Context Aware 3D UNet for Brain Tumor Segmentation Parvez Ahmad Saqib Qamar Linlin Shen Adnan Saeed SSeg 21 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 19 10 0 14 Oct 2020
Knowledge Distillation for Brain Tumor Segmentation Dmitrii Lachinov E. Shipunova Vadim Turlapov 23 15 0 10 Feb 2020
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images Aleksandar Vakanski Min Xian Phoebe E. Freer 24 142 0 20 Oct 2019
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs Raphael Meier Urspeter Knecht Alain Jungo Roland Wiest M. Reyes 14 6 0 01 Mar 2017