Incorporating prior knowledge in medical image segmentation: a survey

5 July 2016

Papers citing "Incorporating prior knowledge in medical image segmentation: a survey"

20 / 20 papers shown

Title
Physically Feasible Semantic Segmentation Shamik Basu Luc Van Gool Daniel Gehrig 205 1 0 26 Aug 2024
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification Botond Fazekas Dmitrii Lachinov Guilherme Aresta Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović 28 18 0 26 Oct 2022
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets Benjamin Billot C. Magdamo You Cheng S. Arnold Sudeshna Das Juan Eugenio Iglesias 85 105 0 05 Sep 2022
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors Arnaud Boutillon Pierre-Henri Conze C. Pons Valérie Burdin Bhushan S Borotikar 50 18 0 27 Jul 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 115 85 0 01 Jun 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining Benjamin Billot Magdamo Colin S. Arnold Sudeshna Das Juan Eugenio Iglesias OOD 92 11 0 03 Mar 2022
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 70 9 0 26 Aug 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 78 5 0 26 Aug 2021
Context-aware virtual adversarial training for anatomically-plausible segmentation Ping Wang Jizong Peng M. Pedersoli Yuanfeng Zhou Caiming Zhang Christian Desrosiers 21 5 0 12 Jul 2021
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation M. Kazemimoghadam W. Chi A. Rahimi Nathan Kim P. Alluri C. Nwachukwu Wei Lu X. Gu 42 8 0 06 May 2021
A survey on shape-constraint deep learning for medical image segmentation Simon Bohlender Ilkay Oksuz Anirban Mukhopadhyay 3DV 135 34 0 19 Jan 2021
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey Rosana El Jurdia Caroline Petitjean P. Honeine Veronika Cheplygina F. Abdallah SSeg MedIm 91 83 0 16 Nov 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders Agostina J. Larrazabal Cesar E. Martínez Ben Glocker Enzo Ferrante 112 68 0 24 Jun 2020
Breast Anatomy Enriched Tumor Saliency Estimation Fei Xu Yingtao Zhang Min Xian Heng-Da Cheng Boyu Zhang Jianrui Ding Chunping Ning Ying Wang 45 1 0 23 Oct 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images Aleksandar Vakanski Min Xian Phoebe E. Freer 88 144 0 20 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 186 684 0 16 Oct 2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation Yuyin Zhou Zhe Li S. Bai Chong Wang Xinlei Chen Mei Han Elliot K. Fishman Alan Yuille 55 177 0 12 Apr 2019
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation Z. Mirikharaji Ghassan Hamarneh SSeg MedIm 69 123 0 21 Jun 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 101 340 0 08 May 2018
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas M. Heinrich Wenjia Bai ... T. Dawes D. O’Regan Bernhard Kainz Ben Glocker Daniel Rueckert 72 660 0 22 May 2017