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Hassan Muhammad
Hassan Muhammad
Memorial Sloan-Kettering Cancer Center, Weill Cornell Medicine
Verified email at med.cornell.edu
Title
Cited by
Cited by
Year
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
2192017
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
762015
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
392020
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
312019
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
182016
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
10*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
102019
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
62018
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
52016
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
42023
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
42018
Systems and methods for image classification using visual dictionaries
TJ Fuchs, H Muhammad
US Patent 11,615,264, 2023
22023
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
12016
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
12015
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
12014
AI-based morphologic model for prediction of individual patient response to immune checkpoint inhibitors for bladder cancer.
M Nair, R Liao, P Jain, C Xie, H Muhammad, W Huang, HS Basu, ...
Journal of Clinical Oncology 42 (4_suppl), 686-686, 2024
2024
End-to-end part learning for image analysis
C Xie, H Muhammad, CM Vanderbilt, DVK YARLAGADDA, ...
US Patent App. 18/008,133, 2023
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
2023
A novel, AI-generated morphologic biomarker to predict prostate cancer recurrence in patients with intermediate risk of progression.
S Nair, H Muhammad, P Jain, C Xie, I Pavlova, R Brody, W Huang, ...
Journal of Clinical Oncology 41 (16_suppl), e17097-e17097, 2023
2023
AI powered-platform to predict gene modifications from prostate and breast cancer whole slide images
W Huang, P Jain, C Xie, H Muhammad, H Basu, G Wilding, R Roy
Cancer Research 83 (7_Supplement), 5408-5408, 2023
2023
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