| Retinal blood vessel segmentation using fully convolutional network with transfer learning Z Jiang, H Zhang, Y Wang, SB Ko Computerized Medical Imaging and Graphics 68, 1-15, 2018 | 209 | 2018 |
| Breast cancer classification in automated breast ultrasound using multiview convolutional neural network with transfer learning Y Wang, EJ Choi, Y Choi, H Zhang, GY Jin, SB Ko Ultrasound in medicine & biology 46 (5), 1119-1132, 2020 | 129 | 2020 |
| Efficient multiple-precision floating-point fused multiply-add with mixed-precision support H Zhang, D Chen, SB Ko IEEE Transactions on Computers 68 (7), 1035-1048, 2019 | 53 | 2019 |
| Efficient Posit Multiply-Accumulate Unit Generator for Deep Learning Applications H Zhang, J He, SB Ko 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 47 | 2019 |
| Design of Power Efficient Posit Multiplier H Zhang, SB Ko IEEE Transactions on Circuits and Systems II: Express Briefs 67 (5), 861-865, 2020 | 41 | 2020 |
| New flexible multiple-precision multiply-accumulate unit for deep neural network training and inference H Zhang, D Chen, SB Ko IEEE Transactions on Computers 69 (1), 26-38, 2019 | 34 | 2019 |
| Deep learning for the classification of small (≤ 2 cm) pulmonary nodules on CT imaging: a preliminary study KJ Chae, GY Jin, SB Ko, Y Wang, H Zhang, EJ Choi, H Choi Academic radiology 27 (4), e55-e63, 2020 | 31 | 2020 |
| Efficient fixed/floating-point merged mixed-precision multiply-accumulate unit for deep learning processors H Zhang, HJ Lee, SB Ko 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 27 | 2018 |
| Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography Y Wang, H Zhang, KJ Chae, Y Choi, GY Jin, SB Ko Multidimensional Systems and Signal Processing 31, 1163-1183, 2020 | 23 | 2020 |
| Area-and power-efficient iterative single/double-precision merged floating-point multiplier on FPGA H Zhang, D Chen, SB Ko IET Computers & Digital Techniques 11 (4), 149-158, 2017 | 19 | 2017 |
| High performance and energy efficient single‐precision and double‐precision merged floating‐point adder on FPGA H Zhang, D Chen, SB Ko IET Computers & Digital Techniques 12 (1), 20-29, 2018 | 15 | 2018 |
| Segmentation for document layout analysis: not dead yet L Markewich, H Zhang, Y Xing, N Lambert-Shirzad, Z Jiang, RKW Lee, ... International Journal on Document Analysis and Recognition (IJDAR), 1-11, 2022 | 13 | 2022 |
| A Real-Time Architecture for Pruning the Effectual Computations in Deep Neural Networks M Asadikouhanjani, H Zhang, L Gopalakrishnan, HJ Lee, SB Ko IEEE Transactions on Circuits and Systems I: Regular Papers 68 (5), 2030-2041, 2021 | 11 | 2021 |
| Efficient spiking neural network training and inference with reduced precision memory and computing Y Wang, K Shahbazi, H Zhang, KI Oh, JJ Lee, SB Ko IET Computers & Digital Techniques 13 (5), 397-404, 2019 | 10 | 2019 |
| Energy efficient spiking neural network processing using approximate arithmetic units and variable precision weights Y Wang, H Zhang, KI Oh, JJ Lee, SB Ko Journal of Parallel and Distributed Computing 158, 164-175, 2021 | 8 | 2021 |
| Variable-Precision Approximate Floating-Point Multiplier for Efficient Deep Learning Computation H Zhang, SB Ko IEEE Transactions on Circuits and Systems II: Express Briefs 69 (5), 2503-2507, 2022 | 7 | 2022 |
| Decimal floating-point fused multiply-add with redundant internal encodings L Han, H Zhang, SB Ko IET Computers & Digital Techniques 10 (4), 147-156, 2016 | 7 | 2016 |
| Area and power efficient decimal carry-free adder L Han, H Zhang, SB Ko Electronics Letters 51 (23), 1852-1854, 2015 | 7 | 2015 |
| FPGA-Based Approximate Multiplier for Efficient Neural Computation H Zhang, H Xiao, H Qu, SB Ko 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2021 | 6 | 2021 |
| Efficient Multiple-Precision Posit Multiplier H Zhang, SB Ko 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 6 | 2021 |
