Ahmed Hosny

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Computed Tomography

Advanced Non Small Cell Lung Cancer

Top Venues

Nature reviews. Cancer

Science advances

Radiology. Artificial intelligence

medRxiv : the preprint server for health sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai Juul Birkbak, Hugo J W L Aerts
Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging. medRxiv : the preprint server for health sciences (2023)
Felipe Soares Torres, Shazia Akbar, Srinivas Raman, Kazuhiro Yasufuku, Carola Schmidt, Ahmed Hosny, Felix Baldauf-Lenschen, Natasha B Leighl
End-to-End Non-Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography. JCO clinical cancer informatics 5 (2022)
Zezhong Ye, Jack M Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H Mak, Hugo J W L Aerts, Benjamin H Kann
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans. Radiology. Artificial intelligence 4 (3) (2022)
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts
Artificial intelligence in radiology. Nature reviews. Cancer 18 (8) (2019)
Matthew Connors, Ting Yang, Ahmed Hosny, Zhifei Deng, Fatemeh Yazdandoost, Hajar Massaadi, Douglas Eernisse, Reza Mirzaeifar, Mason N Dean, James C Weaver, Christine Ortiz, Ling Li
Bioinspired design of flexible armor based on chiton scales. Nature communications 10 (1) (2019)
Christoph Bader, Dominik Kolb, James C Weaver, Sunanda Sharma, Ahmed Hosny, João Costa, Neri Oxman
Making data matter: Voxel printing for the digital fabrication of data across scales and domains. Science advances 4 (5) (2018)
Ahmed Hosny, Chintan Parmar, Thibaud P Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert James Gillies, Raymond H Mak, Hugo J W L Aerts
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study. PLoS medicine 15 (11) (2018)