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András Biricz

Showing results (1-10 of 7) with videos related to

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Computers in Biology and Medicine|June 25, 2025
Streamlining tuberculosis detection with foundation model-based weakly supervised transformerZsolt Bedőházi, András Biricz, Nick Foster, et al.
Bioinspiration & Biomimetics|July 26, 2024
Transfer learning may explain pigeons' ability to detect cancer in histopathologyOz Kilim, János Báskay, András Biricz, et al.
Scientific Reports|March 15, 2023
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainabilityAlex Olar, András Biricz, Zsolt Bedőházi, et al.
Scientific Reports|December 17, 2025
Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplersAndrás Biricz, Donát Magyar, Björn Gedda, et al.
Medrxiv : the Preprint Server for Health Sciences|June 17, 2024
Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
NPJ Precision Oncology|January 25, 2025
Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Journal of Pathology Informatics|April 17, 2026
Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settingsZsolt Bedőházi, András Biricz, Oz Kilim, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|June 25, 2025
Streamlining tuberculosis detection with foundation model-based weakly supervised transformerZsolt Bedőházi, András Biricz, Nick Foster, et al.
Bioinspiration & Biomimetics|July 26, 2024
Transfer learning may explain pigeons' ability to detect cancer in histopathologyOz Kilim, János Báskay, András Biricz, et al.
Scientific Reports|March 15, 2023
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainabilityAlex Olar, András Biricz, Zsolt Bedőházi, et al.
Scientific Reports|December 17, 2025
Efficient and scalable training set generation for automated pollen monitoring with Hirst-type samplersAndrás Biricz, Donát Magyar, Björn Gedda, et al.
Medrxiv : the Preprint Server for Health Sciences|June 17, 2024
Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
NPJ Precision Oncology|January 25, 2025
Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Journal of Pathology Informatics|April 17, 2026
Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settingsZsolt Bedőházi, András Biricz, Oz Kilim, et al.
Pageof 1