M Khalid Khan Niazi

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Metin N. GurcanDirector, Center for Artificial Intelligence Research, Wake Forest University School of MedicineVerified email at wakehealth.edu
Thomas Erol TavolaraMayo ClinicVerified email at mayo.edu
Anil ParwaniProfessor of Pathology and Biomedical InformaticsVerified email at osumc.edu
Gillian BeamerTufts UniversityVerified email at tufts.edu
Çağlar ŞenarasPlanet LabsVerified email at planet.com
Ziyu SuCenter for Artificial Intelligence Research, Wake Forest UniversityVerified email at wakehealth.edu
Sang Jin LeeProfessor of Wake Forest Institute for Regenerative MedicineVerified email at wakehealth.edu
Muhammad Aurangzeb KhanWellcome Trust Centre Cell-Matrix Research, Faculty of Biology, Medicine and Health, University ofVerified email at manchester.ac.uk
Bülent YenerProfessor of Computer Science, Director of Data Science Research Center RPIVerified email at cs.rpi.edu
Wei ChenThe Ohio State UniversityVerified email at osumc.edu
Liron PantanowitzPathologist, University of PittsburghVerified email at pitt.edu
Berkman SahinerUS Food and Drug Administration and ARPA-HVerified email at fda.hhs.gov
Meryem Uzun-PerR&D Manager at BiletBank & Assist. Prof. at ISTUNVerified email at petour.com
Mostafa RezapourCenter for Artificial Intelligence Research, Wake Forest University School of MedicineVerified email at wakehealth.edu
Arwa Shana'ahVerified email at osumc.edu
Ewert Bengtssonprofessor emeritus in digital image analysis at Uppsala UniversityVerified email at cb.uu.se
Nimit DhulekarThe MathWorksVerified email at mathworks.com
Ingela NyströmProfessor in Visualization, Centre for Image Analysis, Dept. of Information Technology, UppsalaVerified email at it.uu.se
Seda ÇamalanWake Forest UniversityVerified email at wfu.edu
Weijie ChenUniversity of Chicago; Food and Drug AdministrationVerified email at fda.hhs.gov

M Khalid Khan Niazi

Center for Artificial Intelligence Research, Wake Forest University School of Medicine

Verified email at wakehealth.edu - Homepage

Quantitative Microscopy Digital Pathology Computational Pathology Quantitative Image Analysis


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Digital pathology and artificial intelligence MKK Niazi, AV Parwani, MN Gurcan The Lancet Oncology 20 (5), e253-e261, 2019	832	2019
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	110	2018
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	108	2015
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	66	2010
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	59	2018
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	59	2004
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	52	2018
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	47	2020
Velocity-image model for online signature verification MAU Khan, MKK Niazi, MA Khan Image Processing, IEEE Transactions on 15 (11), 3540-3549, 2006	42	2006
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	41	2017
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	38	2020
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	37	2019
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	34	2006
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	33	2013
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	31	2022
A modified particle swarm optimization applied in image registration MK Khan, I Nyström 2010 20th International Conference on Pattern Recognition, 2302-2305, 2010	31	2010
Fingerprint image enhancement using decimation-free directional filter bank MAU Khan, MK Khan, MA Khan Information Technology Journal 4 (1), 16-20, 2005	31	2005
A modular cGAN classification framework: Application to colorectal tumor detection TE Tavolara, MKK Niazi, V Arole, W Chen, W Frankel, MN Gurcan Scientific reports 9 (1), 18969, 2019	30	2019
Perceptual clustering for automatic hotspot detection from Ki-67-stained neuroendocrine tumour images MKK Niazi, XZ Martha M. Yearsley, W Frankel, MN Gurcan Journal of Microscopy 256 (3), 213-225, 2014	30	2014
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study MKK Niazi, M Pennell, C Elkins, J Hemminger, M Jin, S Kirby, H Kurt, ... Proc SPIE 8676, 86760I, 2013	29	2013

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