| A deep convolutional neural network model to classify heartbeats UR Acharya, SL Oh, Y Hagiwara, JH Tan, M Adam, A Gertych, R San Tan Computers in biology and medicine 89, 389-396, 2017 | 1304 | 2017 |
| Computer-assisted bone age assessment: Image preprocessing and epiphyseal/metaphyseal ROI extraction E Pietka, A Gertych, S Pospiech, F Cao, HK Huang, V Gilsanz IEEE transactions on medical imaging 20 (8), 715-729, 2001 | 298 | 2001 |
| Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ... Future Generation Computer Systems 79, 952-959, 2018 | 296 | 2018 |
| Bone age assessment of children using a digital hand atlas A Gertych, A Zhang, J Sayre, S Pospiech-Kurkowska, HK Huang Computerized medical imaging and graphics 31 (4-5), 322-331, 2007 | 238 | 2007 |
| Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides A Gertych, Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, S Cierniak, ... Scientific reports 9 (1), 1483, 2019 | 176 | 2019 |
| Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones A Zhang, A Gertych, BJ Liu Computerized Medical Imaging and Graphics 31 (4-5), 299-310, 2007 | 171 | 2007 |
| Age-related macular degeneration detection using deep convolutional neural network JH Tan, SV Bhandary, S Sivaprasad, Y Hagiwara, A Bagchi, ... Future Generation Computer Systems 87, 127-135, 2018 | 158 | 2018 |
| A structural and functional acromegaly classification D Cuevas-Ramos, JD Carmichael, O Cooper, VS Bonert, A Gertych, ... The Journal of Clinical Endocrinology & Metabolism 100 (1), 122-131, 2015 | 143 | 2015 |
| Treatment of clinically nonfunctioning pituitary adenomas with dopamine agonists Y Greenman, O Cooper, I Yaish, E Robenshtok, N Sagiv, T Jonas-Kimchi, ... European Journal of Endocrinology 175 (1), 63-72, 2016 | 130 | 2016 |
| Path R-CNN for prostate cancer diagnosis and gleason grading of histological images W Li, J Li, KV Sarma, KC Ho, S Shen, BS Knudsen, A Gertych, CW Arnold IEEE transactions on medical imaging 38 (4), 945-954, 2018 | 126 | 2018 |
| Machine learning approaches to analyze histological images of tissues from radical prostatectomies A Gertych, N Ing, Z Ma, TJ Fuchs, S Salman, S Mohanty, S Bhele, ... Computerized Medical Imaging and Graphics 46, 197-208, 2015 | 126 | 2015 |
| Integration of computer assisted bone age assessment with clinical PACS E Pietka, S Pospiech-Kurkowska, A Gertych, F Cao Computerized medical imaging and graphics 27 (2-3), 217-228, 2003 | 106 | 2003 |
| A multi-scale u-net for semantic segmentation of histological images from radical prostatectomies J Li, KV Sarma, KC Ho, A Gertych, BS Knudsen, CW Arnold AMIA Annual Symposium Proceedings 2017, 1140, 2017 | 79 | 2017 |
| Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020) HW Loh, CP Ooi, J Vicnesh, SL Oh, O Faust, A Gertych, UR Acharya Applied Sciences 10 (24), 8963, 2020 | 78 | 2020 |
| Semantic segmentation for prostate cancer grading by convolutional neural networks N Ing, Z Ma, J Li, H Salemi, C Arnold, BS Knudsen, A Gertych Medical Imaging 2018: Digital Pathology 10581, 343-355, 2018 | 71 | 2018 |
| An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies J Li, W Speier, KC Ho, KV Sarma, A Gertych, BS Knudsen, CW Arnold Computerized Medical Imaging and Graphics 69, 125-133, 2018 | 57 | 2018 |
| Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features UR Acharya, JEW Koh, Y Hagiwara, JH Tan, A Gertych, A Vijayananthan, ... Computers in biology and medicine 94, 11-18, 2018 | 57 | 2018 |
| Computer automated approach to the extraction of epiphyseal regions in hand radiographs E Pietka, S Pospiech, A Gertych, F Cao, HK Huang, V Gilsanz Journal of Digital Imaging 14 (4), 165, 2001 | 57 | 2001 |
| A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk S Klimov, IM Miligy, A Gertych, Y Jiang, MS Toss, P Rida, IO Ellis, A Green, ... Breast Cancer Research 21, 1-19, 2019 | 52 | 2019 |
| Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes S Morley, S You, S Pollan, J Choi, B Zhou, MH Hager, K Steadman, ... Scientific reports 5 (1), 12136, 2015 | 51 | 2015 |
Beatrice S. KnudsenProfessor of Pathology and Biomedical Sciences在 cshs.org 的电子邮件经过验证
