| Digital pathology and artificial intelligence MKK Niazi, AV Parwani, MN Gurcan The Lancet Oncology 20 (5), e253-e261, 2019 | 1073 | 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 | 128 | 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 | 126 | 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 | 67 | 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 | 65 | 2018 |
| 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 | 60 | 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 |
| 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 | 58 | 2020 |
| 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 | 49 | 2022 |
| 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 | 49 | 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 | 49 | 2019 |
| 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 | 46 | 2021 |
| 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 | 44 | 2022 |
| 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 | 44 | 2017 |
| Velocity-image model for online signature verification MAU Khan, MKK Niazi, MA Khan Image Processing, IEEE Transactions on 15 (11), 3540-3549, 2006 | 43 | 2006 |
| 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 | 34 | 2021 |
| 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 | 34 | 2015 |
| 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 |
| 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 | 32 | 2006 |
| 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 | 31 | 2021 |
Metin N. GurcanDirector, Center for Artificial Intelligence Research, Wake Forest University School of Medicineยืนยันอีเมลแล้วที่ wakehealth.edu