Chloé Puget

According to our database, Chloé Puget authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images.

Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Barbara Richter, Chloé Puget, Daniela Denk, Elena A. Demeter, Flaviu A. Tabaran, Gabriel Wasinger, Karoline Lipnik, Marco Tecilla, Matthew J. Valentine, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville

CoRR, 2024

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides.

Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch

CoRR, 2024

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning.

Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Pan-Tumor T-Lymphocyte Detection Dataset.

Frauke Wilm, Christian Ihling, Gabor Mehes, Luigi Terracciano, Chloé Puget, Robert Klopfleisch, Peter J. Schüffler, Marc Aubreville, Andreas Maier, Thomas Mrowiec, Katharina Breininger

Dataset, February, 2023

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset.

Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.

Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023