| Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images S Graham, QD Vu, SEA Raza, A Azam, YW Tsang, JT Kwak, N Rajpoot Medical image analysis 58, 101563, 2019 | 1070 | 2019 |
| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 663 | 2019 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 457 | 2019 |
| Methods for segmentation and classification of digital microscopy tissue images QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ... Frontiers in bioengineering and biotechnology 7, 433738, 2019 | 300 | 2019 |
| Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in smart cities M Sajjad, S Khan, Z Jan, K Muhammad, H Moon, JT Kwak, S Rho, ... IEEE Access 5, 3475-3489, 2016 | 127 | 2016 |
| Multimodal microscopy for automated histologic analysis of prostate cancer JT Kwak, SM Hewitt, S Sinha, R Bhargava BMC cancer 11, 1-16, 2011 | 121 | 2011 |
| Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles JG Ha, H Moon, JT Kwak, SI Hassan, M Dang, ON Lee, HY Park Journal of Applied Remote Sensing 11 (4), 042621-042621, 2017 | 120 | 2017 |
| Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging JT Kwak, S Xu, BJ Wood, B Turkbey, PL Choyke, PA Pinto, S Wang, ... Medical physics 42 (5), 2368-2378, 2015 | 112 | 2015 |
| PAIP 2019: Liver cancer segmentation challenge YJ Kim, H Jang, K Lee, S Park, SG Min, C Hong, JH Park, K Lee, J Kim, ... Medical image analysis 67, 101854, 2021 | 111 | 2021 |
| Deep recurrent neural networks for prostate cancer detection: analysis of temporal enhanced ultrasound S Azizi, S Bayat, P Yan, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... IEEE transactions on medical imaging 37 (12), 2695-2703, 2018 | 94 | 2018 |
| Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images YK Tsehay, NS Lay, HR Roth, X Wang, JT Kwak, BI Turkbey, PA Pinto, ... Medical imaging 2017: Computer-aided diagnosis 10134, 20-30, 2017 | 88 | 2017 |
| Improving prediction of prostate cancer recurrence using chemical imaging JT Kwak, A Kajdacsy-Balla, V Macias, M Walsh, S Sinha, R Bhargava Scientific reports 5 (1), 8758, 2015 | 80 | 2015 |
| Nuclear architecture analysis of prostate cancer via convolutional neural networks JT Kwak, SM Hewitt IEEE access 5, 18526-18533, 2017 | 70 | 2017 |
| Multiview boosting digital pathology analysis of prostate cancer JT Kwak, SM Hewitt Computer methods and programs in biomedicine 142, 91-99, 2017 | 69 | 2017 |
| Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging MNN To, DQ Vu, B Turkbey, PL Choyke, JT Kwak International journal of computer assisted radiology and surgery 13, 1687-1696, 2018 | 62 | 2018 |
| Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations S Azizi, S Bayat, P Yan, A Tahmasebi, G Nir, JT Kwak, S Xu, S Wilson, ... International journal of computer assisted radiology and surgery 12, 1293-1305, 2017 | 58 | 2017 |
| Detection of prostate cancer in multiparametric MRI using random forest with instance weighting N Lay, Y Tsehay, MD Greer, B Turkbey, JT Kwak, PL Choyke, P Pinto, ... Journal of Medical Imaging 4 (2), 024506-024506, 2017 | 58 | 2017 |
| Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study S Azizi, F Imani, S Ghavidel, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... International journal of computer assisted radiology and surgery 11, 947-956, 2016 | 57 | 2016 |
| Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI Y Tsehay, N Lay, X Wang, JT Kwak, B Turkbey, P Choyke, P Pinto, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 56 | 2017 |
| SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images TNN Doan, B Song, TTL Vuong, K Kim, JT Kwak IEEE Journal of Biomedical and Health Informatics 26 (7), 3218-3228, 2022 | 50 | 2022 |
