Ahmed Hosny
Ahmed Hosny
Machine Learning @ Dana Farber Cancer Institute
Patvirtintas el. paštas - Pagrindinis puslapis
Computational Radiomics System to Decode the Radiographic Phenotype
JJM van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ...
Cancer Research 77 (21), e104-e107, 2017
Artificial intelligence in radiology
A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts
Nature Reviews Cancer 18 (8), 500-510, 2018
Artificial intelligence in cancer imaging: Clinical challenges and applications
WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ...
CA: a cancer journal for clinicians 69 (2), 127-157, 2019
Deep learning predicts lung cancer treatment response from serial medical imaging
Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ...
Clinical Cancer Research 25 (11), 3266-3275, 2019
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ...
PLOS Medicine 15 (11), e1002711, 2018
The dataset nutrition label
S Holland, A Hosny, S Newman, J Joseph, K Chmielinski
Data Protection and Privacy 12 (12), 1, 2020
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ...
Nature 586 (7829), E14-E16, 2020
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ...
Nature 586 (7829), E14-E16, 2020
Artificial intelligence in radiation oncology
E Huynh, A Hosny, C Guthier, DS Bitterman, SF Petit, DA Haas-Kogan, ...
Nature Reviews Clinical Oncology 17 (12), 771-781, 2020
Artificial intelligence for clinical oncology
BH Kann, A Hosny, HJWL Aerts
Cancer Cell 39 (7), 916-927, 2021
Deep learning classification of lung cancer histology using CT images
TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao, M Lanuti, DC Christiani, ...
Scientific reports 11 (1), 1-12, 2021
Data analysis strategies in medical imaging
C Parmar, JD Barry, A Hosny, J Quackenbush, HJWL Aerts
Clinical cancer research 24 (15), 3492-3499, 2018
Deep Learning to Assess Long-term Mortality From Chest Radiographs
MT Lu, A Ivanov, T Mayrhofer, A Hosny, HJWL Aerts, U Hoffmann
JAMA Network Open 2 (7), e197416-e197416, 2019
Making data matter: Voxel printing for the digital fabrication of data across scales and domains
C Bader, D Kolb, JC Weaver, S Sharma, A Hosny, J Costa, N Oxman
Science advances 4 (5), eaas8652, 2018
Artificial intelligence for global health
A Hosny, HJWL Aerts
Science 366 (6468), 955-956, 2019
Hybrid Living Materials: Digital Design and Fabrication of 3D Multimaterial Structures with Programmable Biohybrid Surfaces
RSH Smith, C Bader, S Sharma, D Kolb, TC Tang, A Hosny, F Moser, ...
Advanced Functional Materials 30 (7), 1907401, 2020
Handcrafted versus deep learning radiomics for prediction of cancer therapy response
A Hosny, HJ Aerts, RH Mak
The Lancet Digital Health 1 (3), e106-e107, 2019
Bioinspired design of flexible armor based on chiton scales
M Connors, T Yang, A Hosny, Z Deng, F Yazdandoost, H Massaadi, ...
Nature communications 10 (1), 5413, 2019
Pre-procedural fit-testing of TAVR valves using parametric modeling and 3D printing
A Hosny, JD Dilley, T Kelil, M Mathur, MN Dean, JC Weaver, B Ripley
Journal of cardiovascular computed tomography 13 (1), 21-30, 2019
Massive Analysis Quality Control (MAQC) Society Board of Directors
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami
Transparency and reproducibility in artificial intelligence. Nature 586 …, 2020
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Straipsniai 1–20