Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Maria Vakalopoulou

Maria Vakalopoulou

Artifact Removal in Histopathology Images

Dec 16, 2022
Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd

Figure 1 for Artifact Removal in Histopathology Images

Figure 2 for Artifact Removal in Histopathology Images

Figure 3 for Artifact Removal in Histopathology Images

Figure 4 for Artifact Removal in Histopathology Images

* Corrected typos, small modification of Figure 1 (+ reflected in Section 2.1), results unchanged

Access Paper or Ask Questions

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Jul 17, 2022
Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras

Figure 1 for Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Figure 2 for Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Figure 3 for Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Figure 4 for Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

* Accepted to MICCAI 2022

Access Paper or Ask Questions

Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Jun 30, 2022
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy

Figure 1 for Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Figure 2 for Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Figure 3 for Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Figure 4 for Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

* Accepted at MICCAI2022 Conference

Access Paper or Ask Questions

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Dec 23, 2021
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, SamuelJ outard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

Figure 1 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Figure 2 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Figure 3 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Figure 4 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Access Paper or Ask Questions