Florian A. Hölzl

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 5

Top Topics

Brain Tumor Segmentation

Differentially Private

Contingency Tables

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen 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
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. AISec@CCS (2023)
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Equivariant Differentially Private Deep Learning. CoRR (2023)
Apurva Singh, Florian A. Hölzl, Sharyn Katz, Despina Kontos
A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients. Medical Imaging: Computer-Aided Diagnosis (2022)
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis. CoRR (2022)