Seuraa
M Khalid Khan Niazi
M Khalid Khan Niazi
The Ohio State University
Vahvistettu sähköpostiosoite verkkotunnuksessa osumc.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Digital pathology and artificial intelligence
MKK Niazi, AV Parwani, MN Gurcan
The Lancet Oncology 20 (5), e253-e261, 2019
10722019
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
C Senaras, MKK Niazi, G Lozanski, M Nafi Gurcan
PLOS ONE, 2018
1282018
Lung necrosis and neutrophils reflect common pathways of susceptibility to Mycobacterium tuberculosis in genetically diverse, immune competent mice.
MKK Niazi, N Dhulekar, D Schmidt, S Major, R Cooper, C Abeijon, D Gatti, ...
Disease Models & Mechanisms, 2015
1262015
Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification
MT Ibrahim, MA Khan, KS Alimgeer, MK Khan, IA Taj, L Guan
Pattern Recognition 43 (8), 2817-2832, 2010
672010
Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
C Senaras, MKK Niazi, B Sahiner, MP Pennell, G Tozbikian, G Lozanski, ...
PLOS ONE 13 (5), e0196846, 2018
652018
Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning
MKK Niazi, T Tavolara, V Arole, D Hartman, L Pantanowitz, MN Gurcan
PLOS ONE, 2018
602018
Coronary angiogram image enhancement using decimation-free directional filter banks
MAU Khan, MK Khan, MA Khan
Acoustics, Speech, and Signal Processing, 2004. Proceedings.(ICASSP'04 …, 2004
592004
The influence of printing parameters and cell density on bioink printing outcomes
GJ Gillispie, A Han, M Uzun-Per, J Fisher, AG Mikos, MKK Niazi, JJ Yoo, ...
Tissue Engineering Part A 26 (23-24), 1349-1358, 2020
582020
Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring
C Luchini, L Pantanowitz, V Adsay, SL Asa, P Antonini, I Girolami, ...
Modern Pathology, 1-9, 2022
492022
OtoMatch: Content-based eardrum image retrieval using deep learning
C Seda, MKK Niazi, AC Moberly, T Teknos, G G, Essig, C Elmaraghy, ...
PLOS One 15 (5), e0232776, 2020
492020
Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions
H Binol, A Plotner, J Sopkovich, B Kaffenberger, MKK Niazi, MN Gurcan
Wiley Skin Research &Technology (https://doi.org/10.1111/srt.12817), 2019
492019
Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models
TE Tavolara, MN Gurcan, S Segal, MKK Niazi
Computers in Biology and Medicine 136, 104737, 2021
462021
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images
Z Su, TE Tavolara, G Carreno-Galeano, SJ Lee, MN Gurcan, MKK Niazi
Medical Image Analysis 79, 102462, 2022
442022
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer
MKK Niazi, K Yao, D Zynger, S Clinton, J Chen, M Koyuturk, ...
IEEE Journal of Biomedical and Health Informatics 2 (4), 1027 - 1038, 2017
442017
Velocity-image model for online signature verification
MAU Khan, MKK Niazi, MA Khan
Image Processing, IEEE Transactions on 15 (11), 3540-3549, 2006
432006
Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice
TE Tavolara, M Niazi, A Gower, M Ginese, B Gillian, MN Gurcan
Lancet EBioMedicine 67 (2021), 1-12, 2021
342021
Genetically diverse mice are novel and valuable models of age-associated susceptibility to Mycobacterium tuberculosis
DE Harrison, CM Astle, MKK Niazi, S Major, GL Beamer
Immunity & Ageing, 2015
342015
Impact of Diffusion Barriers to Small Cytotoxic Molecules on the Efficacy of Immunotherapy in Breast Cancer
VC Hiranmoy Das, Zhihui Wang, M Khalid Khan Niazi
PLOS ONE, 2013
332013
On-line signature verification by exploiting inter-feature dependencies
M Khalid Khan, M Aurangzeb Khan, MAU Khan, I Ahmad
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on 2 …, 2006
322006
CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice
D Koyuncu, MKK Niazi, T Tavolara, C Abeijon, ML Ginese, Y Liao, C Mark, ...
PLOS Pathogens 17 (8), e1009773, 2021
312021
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20