Journal Publications
[J1] Noelle Daigle, Shuyuan Guan, Suzann Duan, Thomas G. Knapp, [et. al., including Eungjoo Lee], "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms, 2(4), 045001 (2025).
[J2] Eungjoo Lee, Lei Pan, Zhu Li, Shuvra S Bhattacharyya, "Efficient Hyperspectral Image Classification using Discrete Cosine Transform on Limited-Resource Systems," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025).
[J3] Eungjoo Lee, Meghan L Edgerton, Barbara Buccilli, Ilknur Telkes, Tessa Harland, Julie G Pilitsis, "Prediction of response to spinal cord stimulation using machine learning based on radiomics and patient reported outcomes," Neurosurgery (2025).
[J4] Mohammadreza Saraei, Mehrshad Lalinia, Eung-Joo Lee, "Deep Learning-Based Medical Object Detection: A Survey," IEEE Access (2025).
[J5] Reza Monfaredi, Pavel Yarmolenko, Eung-Joo Lee, Kevin Cleary, and Karun Sharma, "Evaluation of a novel MRI-safe needle guidance toolkit for streamlined arthrography procedures." Scientific Reports 13.1 (2023): 17610.
[J6] Vaishanth Ramaraj, Atharva Parlikar, Eung-Joo Lee, S Anwar, and Reza Monfaredi, “Development of a real-time autonomous modular system for a powered wheelchair,” Journal of Signal Processing Systems (2023): 1-12.
[J7] Martin Wagner, Beat-Peter Muller-Stich, [et. al., including Eung-Joo Lee], “Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark,” Medical Image Analysis (2023): 102770.
[J8] Sung Jin Lee, Jun Seok Yun, Eung-Joo Lee, Seokbong Yoo, “HIFA-LPR: High-Frequency Augmented License Plate Recognition in Low-Quality Legacy Conditions via Gradual End-to-End Learning,” Mathematics 10.9 (2022): 1569.
[J9] Taeyoon Kim, Yongju Kwon, Jooyong Lee, Eung-Joo Lee, Soonchul Kwon, ”Wave attenuation prediction of an artificial coral reef using machine-learning integrated with hydraulic experiment,” Ocean Engineering, Mar. 2022.
[J10] Eung-Joo Lee, Setareh Farzinfard, Pavel S. Yarmolenko, Kevin Cleary, and Reza Monfaredi, “Toward robust partial-image based template matching techniques for MRI-guided interventions,” Journal of Digital Imaging, Oct. 2022.
[J11] Eung-Joo Lee, William Plishker, Nobuhiko Hata, Paul B. Shyn, Stuart G. Silverman, Shuvra S. Bhattacharyya, Raj Shekhar, “Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning,” Journal of Digital Imaging 34.6 (2021): 1376-1386.
[J12] Seok Bong Yoo, Eung-Joo Lee, “Deep super-resolution imaging technology: toward optical super-vision,” IEEE Consumer Electronics Magazine 10.1 (2020): 24-31.
[J13] Yaesop Lee, Jing Xie, Eung-Joo Lee, Srijesh Sudarsanan, Da-ting Lin, Rong Chen, Shuvra S. Bhattacharyya, “Real-time neuron detection and neural signal extraction platform for miniature calcium imaging,” Frontiers in computational neuroscience 14 (2020): 43.
[J14] Eung-Joo Lee, William Plishker, Xinyang Liu, Shuvra S. Bhattacharyya, Raj Shekhar, “Weakly Supervised Segmentation for Real-time Surgical Tool Tracking,” IET Healthcare Technology Letters: 231-2361, Oct. 2019.