| Hybrid deep learning on single wide-field optical coherence tomography scans accurately classifies glaucoma suspects H Muhammad, TJ Fuchs, N De Cuir, CG De Moraes, DM Blumberg, ... Journal of glaucoma 26 (12), 1086-1094, 2017 | 245 | 2017 |
| Details of glaucomatous damage are better seen on OCT en face images than on OCT retinal nerve fiber layer thickness maps DC Hood, B Fortune, MA Mavrommatis, J Reynaud, R Ramachandran, ... Investigative ophthalmology & visual science 56 (11), 6208-6216, 2015 | 80 | 2015 |
| Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. C Xie, H Muhammad, CM Vanderbilt, R Caso, DVK Yarlagadda, ... MIDL, 843-856, 2020 | 46 | 2020 |
| Unsupervised subtyping of cholangiocarcinoma using a deep clustering convolutional autoencoder H Muhammad, CS Sigel, G Campanella, T Boerner, LM Pak, S Büttner, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 39 | 2019 |
| Defects along blood vessels in glaucoma suspects and patients DC Hood, N De Cuir, MA Mavrommatis, D Xin, H Muhammad, J Reynaud, ... Investigative ophthalmology & visual science 57 (4), 1680-1686, 2016 | 19 | 2016 |
| EPIC-survival: End-to-end part inferred clustering for survival analysis, with prognostic stratification boosting H Muhammad, C Xie, CS Sigel, M Doukas, L Alpert, AL Simpson, ... Medical Imaging with Deep Learning, 2021 | 14* | 2021 |
| Towards unsupervised cancer subtyping: predicting prognosis using a histologic visual dictionary H Muhammad, CS Sigel, G Campanella, T Boerner, LM Pak, S Büttner, ... arXiv preprint arXiv:1903.05257, 2019 | 11 | 2019 |
| Interindividual variations in foveal anatomy and artifacts seen on inner retinal probability maps from spectral domain OCT scans of the macula CG De Moraes, H Muhammad, K Kaur, D Wang, R Ritch, DC Hood Translational Vision Science & Technology 7 (2), 4-4, 2018 | 6 | 2018 |
| Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations PJ Schüffler, J Sarungbam, H Muhammad, E Reznik, SK Tickoo, TJ Fuchs Journal of Machine Learning Research W&CP 56, 2016 | 5 | 2016 |
| Predicting response of triple-negative breast cancer to neoadjuvant chemotherapy using a Deep convolutional neural network–based artificial intelligence tool S Krishnamurthy, P Jain, D Tripathy, R Basset, R Randhawa, ... JCO Clinical Cancer Informatics 7, e2200181, 2023 | 4 | 2023 |
| Survival modeling of pancreatic cancer with radiology using convolutional neural networks H Muhammad, I Häggström, DS Klimstra, TJ Fuchs Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis …, 2018 | 4 | 2018 |
| End-to-end part learning for image analysis C Xie, H Muhammad, CM Vanderbilt, DVK YARLAGADDA, ... US Patent App. 18/008,133, 2023 | 1 | 2023 |
| AI-enabled analysis of H&E-stained prostate cancer tissue images: Assessing risk for metastasis prior to apalutamide (APA) treatment of patients with non-metastatic castration … P Mobadersany, SK Tian, SSF Yip, J Greshock, N Khan, MK Yu, ... Journal of Clinical Oncology 41 (16_suppl), 5027-5027, 2023 | 1 | 2023 |
| Systems and methods for image classification using visual dictionaries TJ Fuchs, H Muhammad US Patent 11,615,264, 2023 | 1 | 2023 |
| A comparison of circumpapillary retinal nerve fiber layer (cpRNFL) thickness and minimum rim width at Bruch’s membrane opening (BMO-MRW) analyses in patients with mild … S Lee, R Jarukasetphon, N De Cuir, A Thenappan, CG De Moraes, ... Investigative Ophthalmology & Visual Science 57 (12), 843-843, 2016 | 1 | 2016 |
| The minimum rim width at Bruch’s membrane opening (BMO-MRW) and detection of early glaucomatous damage. R Jarukasetphon, D Wang, X Zhang, H Muhammad, L Grillo, ... Investigative Ophthalmology & Visual Science 56 (7), 1018-1018, 2015 | 1 | 2015 |
| A self-powered and portable device to monitor and assess targeted muscle rehabilitation H Muhammad, A Mustafa 2014 40th Annual Northeast Bioengineering Conference (NEBEC), 1-2, 2014 | 1 | 2014 |
| A Novel Artificial Intelligence-powered Tool for Precise Risk Stratification of Prostate Cancer Progression in Patients with Clinical Intermediate Risk SS Nair, H Muhammad, P Jain, C Xie, I Pavlova, R Brody, W Huang, ... European urology, S0302-2838 (24) 02496-5, 2024 | | 2024 |
| Independent blinded validation of an AI-based digital histology classifier for prostate cancer recurrence and metastasis risk prediction. M Fay, R Liao, ZM Lone, CA Reddy, H Muhammad, C Xie, P Jain, ... Journal of Clinical Oncology 42 (16_suppl), 5098-5098, 2024 | | 2024 |
| MP77-12 ARTIFICIAL INTELLIGENCE-BASED MORPHOLOGIC MODEL FOR PREDICTION OF IMMUNOTHERAPY RESPONSE IN LOCALLY ADVANCED AND METASTATIC UROTHELIAL CARCINOMA OF THE BLADDER RS Liao, M Nair, P Jain, C Xie, H Muhammad, W Huang, H Basu, ... Journal of Urology 211 (5S), e1257, 2024 | | 2024 |
Thomas J. FuchsIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
