| Deep learning models for histopathological classification of gastric and colonic epithelial tumours O Iizuka, F Kanavati, K Kato, M Rambeau, K Arihiro, M Tsuneki Scientific reports 10 (1), 1504, 2020 | 326 | 2020 |
| Weakly-supervised learning for lung carcinoma classification using deep learning F Kanavati, G Toyokawa, S Momosaki, M Rambeau, Y Kozuma, F Shoji, ... Scientific reports 10 (1), 9297, 2020 | 164 | 2020 |
| Deep learning models in medical image analysis M Tsuneki Journal of Oral Biosciences 64 (3), 312-320, 2022 | 90 | 2022 |
| CD44 regulation of endothelial cell proliferation and apoptosis via modulation of CD31 and VE-cadherin expression M Tsuneki, JA Madri Journal of Biological Chemistry 289 (9), 5357-5370, 2014 | 84 | 2014 |
| Perlecan‐rich epithelial linings as a background of proliferative potentials of keratocystic odontogenic tumor M Tsuneki, J Cheng, S Maruyama, H Ida‐Yonemochi, M Nakajima, ... Journal of oral pathology & medicine 37 (5), 287-293, 2008 | 60 | 2008 |
| CD44 promotes inflammation and extracellular matrix production during arteriovenous fistula maturation G Kuwahara, T Hashimoto, M Tsuneki, K Yamamoto, R Assi, TR Foster, ... Arteriosclerosis, thrombosis, and vascular biology 37 (6), 1147-1156, 2017 | 56 | 2017 |
| The mouse aortocaval fistula recapitulates human arteriovenous fistula maturation K Yamamoto, CD Protack, M Tsuneki, MR Hall, DJ Wong, DY Lu, R Assi, ... American Journal of Physiology-Heart and Circulatory Physiology 305 (12 …, 2013 | 56 | 2013 |
| Podoplanin-mediated cell adhesion through extracellular matrix in oral squamous cell carcinoma M Tsuneki, M Yamazaki, S Maruyama, J Cheng, T Saku Laboratory investigation 93 (8), 921-932, 2013 | 52 | 2013 |
| Lymphoepithelial cyst of the parotid gland: its possible histopathogenesis based on clinicopathologic analysis of 64 cases L Wu, J Cheng, S Maruyama, M Yamazaki, M Tsuneki, Y Lu, Z He, ... Human pathology 40 (5), 683-692, 2009 | 49 | 2009 |
| Combined immunohistochemistry for the differential diagnosis of cystic jaw lesions: its practical use in surgical pathology M Tsuneki, M Yamazaki, J Cheng, S Maruyama, T Kobayashi, T Saku Histopathology 57 (6), 806-813, 2010 | 47 | 2010 |
| Podoplanin expression profiles characteristic of odontogenic tumor-specific tissue architectures M Tsuneki, S Maruyama, M Yamazaki, J Cheng, T Saku Pathology-Research and Practice 208 (3), 140-146, 2012 | 44 | 2012 |
| Inflammatory histopathogenesis of nasopalatine duct cyst: a clinicopathological study of 41 cases M Tsuneki, S Maruyama, M Yamazaki, T Abé, HA Adeola, J Cheng, ... Oral diseases 19 (4), 415-424, 2013 | 43 | 2013 |
| Temporal regulation of venous extracellular matrix components during arteriovenous fistula maturation MR Hall, K Yamamoto, CD Protack, M Tsuneki, G Kuwahara, R Assi, ... The journal of vascular access 16 (2), 93-106, 2015 | 42 | 2015 |
| A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy Y Naito, M Tsuneki, N Fukushima, Y Koga, M Higashi, K Notohara, ... Scientific reports 11 (1), 8454, 2021 | 40 | 2021 |
| A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images F Kanavati, G Toyokawa, S Momosaki, H Takeoka, M Okamoto, ... Scientific reports 11 (1), 8110, 2021 | 40 | 2021 |
| Increased oxidative stress and hypoxia inducible factor-1 expression during arteriovenous fistula maturation N Sadaghianloo, K Yamamoto, H Bai, M Tsuneki, CD Protack, MR Hall, ... Annals of vascular surgery 41, 225-234, 2017 | 36 | 2017 |
| Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning F Kanavati, M Tsuneki Medical Imaging with Deep Learning, 338-353, 2021 | 35* | 2021 |
| CD44 influences fibroblast behaviors via modulation of cell–cell and cell–matrix interactions, affecting survivin and hippo pathways M Tsuneki, JA Madri Journal of Cellular Physiology 231 (3), 731-743, 2016 | 35 | 2016 |
| A deep learning model for cervical cancer screening on liquid-based cytology specimens in whole slide images F Kanavati, N Hirose, T Ishii, A Fukuda, S Ichihara, M Tsuneki Cancers 14 (5), 1159, 2022 | 33 | 2022 |
| Extracellular heat shock protein A9 is a novel interaction partner of podoplanin in oral squamous cell carcinoma cells M Tsuneki, S Maruyama, M Yamazaki, B Xu, A Essa, T Abé, H Babkair, ... Biochemical and biophysical research communications 434 (1), 124-130, 2013 | 32 | 2013 |
Alan Dardik, MD, PhD, FACS, DFSVS,...Professor of Surgery and of Cellular and Molecular Physiology, Yale UniversityVerified email at yale.edu
