Publications 2024

Ko Lab publications appearing in 2024. Lab members are shown in bold. See all publications.

  • R. Castro-Zunti, K. Li, A. Vardhan, Y. Choi, G. Y. Jin, S.-B. Ko. RibFractureSys: A gem in the face of acute rib fracture diagnoses. Computerized Medical Imaging and Graphics, 117, 102429, 2024.
  • S. Soleimani-Fard, S.-B. Ko. Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification. Neural Computing and Applications, 36(28), 17631-17644, 2024.
  • D. Perumal, A. Alagarsamy, S. Mahilmaran, G. C. Cardarilli, S.-B. Ko. Probability-based mapping approach for an application-aware networks-on-chip architectures. Nano Communication Networks, 41, 100526, 2024.
  • A. Erazo, K. R. Pinto, Y. Choi, S.-B. Ko. Assessment of a continuous passive motion assistive device in dogs following stifle surgery. The Veterinary Journal, 306, 106160, 2024.
  • F. Ferri, J. Yepez, M. Ahadi, Y. Wang, R. Ko, Y. M. Seddon, S.-B. Ko. Enhancing welfare assessment: automated detection and imaging of dorsal and lateral views of swine carcasses for identification of welfare indicators. Computers and Electronics in Agriculture, 222, 109058, 2024.
  • S. Valarezo-Plaza, J. Torres-Tello, K. D. Singh, S. J. Shirtliffe, S. Deivalakshmi, et al. A novel optimized deep learning model for canola crop yield prediction on edge devices. IEEE Transactions on AgriFood Electronics, 2(2), 436-444, 2024.
  • C. Du, S.-B. Ko, H. Zhang. Energy efficient FPGA-based binary transformer accelerator for edge devices. IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  • M. H. Haider, S. Valarezo-Plaza, S. Muhsin, H. Zhang, S.-B. Ko. Optimized Transformer Models: l'BERT with CNN-like Pruning and Quantization. IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  • Y. Wang, W. G. Jeong, H. Zhang, Y. Choi, G. Y. Jin, S.-B. Ko. Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms. Multimedia Tools and Applications, 83(15), 45969-45987, 2024.
  • T. KalavathiDevi, K. S. Renuka Devi, S. Umadevi, P. Sakthivel, S.-B. Ko. Low power adders using asynchronous pipelined modified low voltage MCML for signal processing and communication applications. Analog Integrated Circuits and Signal Processing, 118(2), 343-353, 2024.
  • R. Kadirappa, D. S., P. R., S.-B. Ko. DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma. Microscopy Research and Technique, 87(2), 229-256, 2024.
  • M. H. Haider, H. Zhang, S. Deivalaskhmi, G. Lakshmi Narayanan, S.-B. Ko. Is neuromorphic computing the key to power-efficient neural networks: A survey. Design and Applications of Emerging Computer Systems, 91-113, 2024.
  • R. Marshal, K. Raja Sekar, L. Gopalakrishnan, A. T. Vanaraj, S.-B. Ko. Designing Fault-Tolerant Digital Circuits in Quantum-Dot Cellular Automata. Design and Applications of Emerging Computer Systems, 671-686, 2024.
  • G. Sushma, L. Gopalakrishnan, S.-B. Ko. EMSOA based application mapping framework for power optimisation in 3D-NoC. International Journal of Electronics, 111(1), 149-169, 2024.
  • G. Azarfar, S.-B. Ko, S. J. Adams, P. S. Babyn. Deep learning-based age estimation from chest CT scans. International Journal of Computer Assisted Radiology and Surgery, 19(1), 119-127, 2024.