Samir Jabari

According to our database, Samir Jabari authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Re-identification from histopathology images.

Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville

CoRR, 2024

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection.

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

A deep learning-based histopathology classifier for Focal Cortical Dysplasia.

Jörg Vorndran, Christoph Neuner, Roland Coras, Lucas Hoffmann, Simon Geffers, Jonas Honke, Jochen Herms, Sigrun Roeber, Hajo Hamer, Sebastian Brandner, Till Hartlieb, Tom Pieper, Manfred Kudernatsch, Christian G. Bien, Thilo Kalbhenn, Matthias Simon, Homa Adle-Biassette, Jesús Cienfuegos, Roberta Di Giacomo, Rita Garbelli, Hajime Miyata, Angelika Mühlebner, Savo Raicevic, Tuomas Rauramaa, Fabio Rogerio, Ingmar Blümcke, Samir Jabari

Neural Comput. Appl., June, 2023

Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge.

Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram

CoRR, 2023

2022

SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.

Leonid Mill, Oliver Aust, Jochen A. Ackermann, Philipp Burger, Monica Pascual, Katrin Palumbo-Zerr, Gerhard Krönke, Stefan Uderhardt, Georg Schett, Christoph S. Clemen, Rolf Schröder, Christian Holtzhausen, Samir Jabari, Andreas K. Maier, Anika Grüneboom

CoRR, 2022

2021

Automatic and explainable grading of meningiomas from histopathology images.

Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment.

Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment.

Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier

CoRR, 2019

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso-Garcia, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier

CoRR, 2019