| Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning MKK Niazi, TE Tavolara, V Arole, DJ Hartman, L Pantanowitz, MN Gurcan PloS one 13 (4), e0195621, 2018 | 53 | 2018 |
| 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 | 40 | 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 | 38 | 2022 |
| Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice TE Tavolara, MKK Niazi, AC Gower, M Ginese, G Beamer, MN Gurcan EBioMedicine 67, 2021 | 32 | 2021 |
| 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 |
| 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 | 29 | 2021 |
| Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning TE Tavolara, MKK Niazi, M Ginese, C Piedra-Mora, DM Gatti, G Beamer, ... EBioMedicine 62, 2020 | 28 | 2020 |
| Contrastive multiple instance learning: An unsupervised framework for learning slide-level representations of whole slide histopathology images without labels TE Tavolara, MN Gurcan, MKK Niazi Cancers 14 (23), 5778, 2022 | 20 | 2022 |
| Automated image analysis methodologies to compute bioink printability M Uzun-Per, GJ Gillispie, TE Tavolara, JJ Yoo, A Atala, MN Gurcan, ... Advanced Engineering Materials 23 (4), 2000900, 2021 | 15 | 2021 |
| Semantic segmentation to identify bladder layers from H&E Images MKK Niazi, E Yazgan, TE Tavolara, W Li, CT Lee, A Parwani, MN Gurcan Diagnostic Pathology 15, 1-8, 2020 | 15 | 2020 |
| One label is all you need: Interpretable AI-enhanced histopathology for oncology TE Tavolara, Z Su, MN Gurcan, MKK Niazi Seminars in Cancer Biology, 2023 | 14 | 2023 |
| BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images Z Su, MKK Niazi, TE Tavolara, S Niu, GH Tozbikian, R Wesolowski, ... Plos one 18 (4), e0283562, 2023 | 12 | 2023 |
| AUTOMATED STAGING OF T1 BLADDER CANCER USING DIGITAL PATHOLOGIC H&E IMAGES: A DEEP LEARNING APPROACH: MP58-06 MKK Niazi, T Tavolara, V Arole, A Parwani, C Lee, M Gurcan Journal of Urology 199 (4), e775, 2018 | 11 | 2018 |
| Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach MKK Niazi, TE Tavolara, V Arole, AV Parwani, C Lee, MN Gurcan Medical Imaging 2018: Digital Pathology 10581, 134-142, 2018 | 9 | 2018 |
| Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach TE Tavolara, MKK Niazi, G Beamer, MN Gurcan Medical Imaging 2020: Digital Pathology 11320, 92-98, 2020 | 7 | 2020 |
| Generalization of tumor identification algorithms MKK Niazi, TE Tavolara, C Senaras, G Tozbikian, DJ Hartman, V Arole, ... Medical Imaging 2019: Digital Pathology 10956, 208-215, 2019 | 7 | 2019 |
| Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E TE Tavolara, MKK Niazi, W Chen, W Frankel, MN Gurcan Medical Imaging 2019: Digital Pathology 10956, 229-237, 2019 | 6 | 2019 |
| Automatic generation of the ground truth for tumor budding using H&E stained slides TE Tavolara, A Dutta, MV Burks, W Chen, W Frankel, MN Gurcan, ... Medical Imaging 2022: Digital and Computational Pathology 12039, 40-46, 2022 | 5 | 2022 |
| Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning TE Tavolara, W Chen, WL Frankel, MN Gurcan, MKK Niazi Medical Imaging 2023: Digital and Computational Pathology 12471, 277-283, 2023 | 3 | 2023 |
| Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases O Moaven, TE Tavolara, CD Valenzuela, CU Corvera, CH Cha, ... Journal of the American College of Surgeons 236 (4), 884-893, 2023 | 3 | 2023 |
M Khalid Khan NiaziCenter for Artificial Intelligence Research, Wake Forest University School of MedicineVerified email at wakehealth.edu
