Going fully digital: Perspective of a Dutch academic pathology lab

por Stathonikos, Nikolas, Veta, Mitko, Huisman, André, van Diest, Paul J.
Publicado 2013

Digital pathology: 15th European congress, ECDP 2019, Warwick, UK, april 10-13, 2019, proceedings

por Reyes-Aldasoro, Constantino Carlos, Janowczyk, Andrew, Veta, Mitko, Bankhead, Peter, Sirinukunwattana, Korsuk
Publicado 2019

Learning Domain-Invariant Representations of Histological Images

por Lafarge, Maxime W., Pluim, Josien P. W., Eppenhof, Koen A. J., Veta, Mitko
Publicado 2019

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

por Heslinga, Friso G., Alberti, Mark, Pluim, Josien P. W., Cabrerizo, Javier, Veta, Mitko
Publicado 2020

Physics-informed neural networks for myocardial perfusion MRI quantification

por van Herten, Rudolf L.M., Chiribiri, Amedeo, Breeuwer, Marcel, Veta, Mitko, Scannell, Cian M.
Publicado 2022

Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning

por Blokker, Max, Hamer, Philip C. de Witt, Wesseling, Pieter, Groot, Marie Louise, Veta, Mitko
Publicado 2022

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

por Veta, Mitko, van Diest, Paul J., Jiwa, Mehdi, Al-Janabi, Shaimaa, Pluim, Josien P. W.
Publicado 2016

Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images

por Veta, Mitko, van Diest, Paul J., Kornegoor, Robert, Huisman, André, Viergever, Max A., Pluim, Josien P. W.
Publicado 2013

Automated clear cell renal carcinoma grade classification with prognostic significance

por Tian, Katherine, Rubadue, Christopher A., Lin, Douglas I., Veta, Mitko, Pyle, Michael E., Irshad, Humayun, Heng, Yujing J.
Publicado 2019

Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI

por Scannell, Cian M., Veta, Mitko, Villa, Adriana D.M., Sammut, Eva C., Lee, Jack, Breeuwer, Marcel, Chiribiri, Amedeo
Publicado 2019

Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

por van Bergeijk, Stijn A., Stathonikos, Nikolas, ter Hoeve, Natalie D., Lafarge, Maxime W., Nguyen, Tri Q., van Diest, Paul J., Veta, Mitko
Publicado 2023

Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning

por van Huizen, Laura M. G., Blokker, Max, Rip, Yael, Veta, Mitko, Mooij Kalverda, Kirsten A., Bonta, Peter I., Duitman, Jan Willem, Groot, Marie Louise
Publicado 2023

Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

por Heslinga, Friso G., Lucassen, Ruben T., van den Berg, Myrthe A., van der Hoek, Luuk, Pluim, Josien P. W., Cabrerizo, Javier, Alberti, Mark, Veta, Mitko
Publicado 2021

Immunohistochemistry scoring of breast tumor tissue microarrays: A comparison study across three software applications

por Baker, Gabrielle M., Bret-Mounet, Vanessa C., Wang, Tengteng, Veta, Mitko, Zheng, Hanqiao, Collins, Laura C., Eliassen, A. Heather, Tamimi, Rulla M., Heng, Yujing J.
Publicado 2022

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

por Wetstein, Suzanne C., Stathonikos, Nikolas, Pluim, Josien P. W., Heng, Yujing J., ter Hoeve, Natalie D., Vreuls, Celien P. H., van Diest, Paul J., Veta, Mitko
Publicado 2021

Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation

por Noothout, Julia M. H., Lessmann, Nikolas, van Eede, Matthijs C., van Harten, Louis D., Sogancioglu, Ecem, Heslinga, Friso G., Veta, Mitko, van Ginneken, Bram, Išgum, Ivana
Publicado 2022

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

por Wetstein, Suzanne C., de Jong, Vincent M. T., Stathonikos, Nikolas, Opdam, Mark, Dackus, Gwen M. H. E., Pluim, Josien P. W., van Diest, Paul J., Veta, Mitko
Publicado 2022

Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

por Flach, Rachel N., Fransen, Nina L., Sonnen, Andreas F. P., Nguyen, Tri Q., Breimer, Gerben E., Veta, Mitko, Stathonikos, Nikolas, van Dooijeweert, Carmen, van Diest, Paul J.
Publicado 2022

A comprehensive multi-domain dataset for mitotic figure detection

por Aubreville, Marc, Wilm, Frauke, Stathonikos, Nikolas, Breininger, Katharina, Donovan, Taryn A., Jabari, Samir, Veta, Mitko, Ganz, Jonathan, Ammeling, Jonas, van Diest, Paul J., Klopfleisch, Robert, Bertram, Christof A.
Publicado 2023

Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer

por Vellal, Adithya D, Sirinukunwattan, Korsuk, Kensler, Kevin H, Baker, Gabrielle M, Stancu, Andreea L, Pyle, Michael E, Collins, Laura C, Schnitt, Stuart J, Connolly, James L, Veta, Mitko, Eliassen, A Heather, Tamimi, Rulla M, Heng, Yujing J
Publicado 2021