Florian A. Hölzl

According to our database, Florian A. Hölzl authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.

Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze

CoRR, 2023

Equivariant Differentially Private Deep Learning.

Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis

CoRR, 2023

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models.

Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis.

Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients.

Apurva Singh, Florian A. Hölzl, Sharyn Katz, Despina Kontos

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022