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ORCIDEungjoo Lee 0001
Person information
- affiliation: University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- affiliation (PhD 2021): University of Maryland, ECE Department, College Park, MD, USA
Other persons with the same name
- Eungjoo Lee (aka: Eung-Joo Lee) — disambiguation page
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2020 – today
- 2025
[j8]Mohammadreza Saraei
, Mehrshad Lalinia, Eungjoo Lee:
Deep Learning-Based Medical Object Detection: A Survey. IEEE Access 13: 53019-53038 (2025)- [j7]Eungjoo Lee, Lei Pan, Zhu Li, Shuvra S. Bhattacharyya:
Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 24647-24661 (2025) - [c13]Jisu Kim, Alexander Mattingly, Eungjoo Lee, Benjamin S. Riggan:
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking. FG 2025: 1-10 - [c12]Yicheng Leng, Syed Muhammad Anwar, Islem Rekik, Sen He, Eungjoo Lee:
Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. ISBI 2025: 1-5 - [c11]Jiayi Zhang, Yuchen Tian, Bofan Song, Eungjoo Lee:
Multimodal Learning for Enhanced Detection in Oral Cancer Screening. ISBI 2025: 1-5 - [i7]Yicheng Leng, Syed Muhammad Anwar, Islem Rekik, Sen He, Eungjoo Lee:
Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection. CoRR abs/2501.16346 (2025) - [i6]Mohammadreza Saraei, Igor Kozak, Eungjoo Lee:
ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification. CoRR abs/2501.17260 (2025) - [i5]Jisu Kim, Alexander Mattingly, Eungjoo Lee, Benjamin S. Riggan:
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking. CoRR abs/2505.22677 (2025) - [i4]Hyam Omar Ali, Sahar Alhesseen, Lamis Elkhair, Adrian Galdran, Ming Feng, Zhixiang Xiong, Zengming Lin, Kele Xu, Liang Hu, Benjamin Keel, Oliver Mills, James Battye, Akshay Kumar, Asra Aslam, Prasad Dutande, Ujjwal Baid, Bhakti Baheti, Suhas S. Gajre, Aravind Shrenivas Murali, Eungjoo Lee, Ahmed Fahal, Rachid Jennane:
AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge. CoRR abs/2512.21792 (2025) - 2024
- [j6]Vaishanth Ramaraj, Atharva Paralikar, Eungjoo Lee, Syed Muhammad Anwar, Reza Monfaredi:
Development of a Modular Real-time Shared-control System for a Smart Wheelchair. J. Signal Process. Syst. 96(3): 203-214 (2024) - [c10]Eungjoo Lee, Vivek Kumar Singh, Elham Yousef Kalafi, Peng Guo, Arinc Ozturk, Theodore T. Pierce, Brian A. Telfer, Anthony E. Samir, Laura J. Brattain:
Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. CLIP@MICCAI 2024: 73-82 - [c9]Eungi Lee, Eungjoo Lee, Syed Muhammad Anwar, Seok Bong Yoo:
Child FER: Domain-Agnostic Facial Expression Recognition in Children Using a Secondary Image Diffusion Model. ICASSP 2024: 2750-2754 - [c8]Aravind Shrenivas Murali, Marino Chuquilín, Eungjoo Lee:
Multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning. DFUC@MICCAI 2024: 81-92 - 2023
- [j5]Eungjoo Lee, Setareh Farzinfard, Pavel Yarmolenko, Kevin Cleary, Reza Monfaredi:
Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions. J. Digit. Imaging 36(1): 153-163 (2023) - [j4]Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eungjoo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - 2022
- [c7]Eungjoo Lee, Alexander Mattingly, Heesung Kwon, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
Real-time Face Tracking Based on a Configurable Ensemble of Detectors. IEEECONF 2022: 339-343 - [c6]Yaesop Lee, Hyungtae Lee, Eungjoo Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR 2022: 1-6 - [c5]Yujunrong Ma, Kiminori Nakamura, Eungjoo Lee, Shuvra S. Bhattacharyya:
EADTC: An Approach to Interpretable and Accurate Crime Prediction. SMC 2022: 170-177 - [i3]Eungjoo Lee, Damon M. Conover, Shuvra S. Bhattacharyya, Heesung Kwon, Jason Hill, Kenneth Evensen:
Validation of object detection in UAV-based images using synthetic data. CoRR abs/2201.06629 (2022) - [i2]Vaishanth Ramaraj, Atharva Paralikar, Eungjoo Lee, Syed Muhammad Anwar, Reza Monfaredi:
Development of a Modular Real-time Shared-control System for a Smart Wheelchair. CoRR abs/2211.14711 (2022) - 2021
- [b1]Eung Joo Lee:
Deep-Learning Based Image Analysis on Resource-Constrained Systems. University of Maryland, College Park, MD, USA, 2021 - [j3]Seok Bong Yoo, Eungjoo Lee:
Deep Super-Resolution Imaging Technology: Toward Optical Super-Vision. IEEE Consumer Electron. Mag. 10(1): 24-31 (2021) - [j2]Eungjoo 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. J. Digit. Imaging 34(6): 1376-1386 (2021) - [c4]Eungjoo Lee, Yi-Ting Shen, Lei Pan, Zhu Li, Shuvra S. Bhattacharyya:
DCT-based Hyperspectral Image Classification on Resource-Constrained Platforms. WHISPERS 2021: 1-5 - [i1]Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eungjoo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR abs/2109.14956 (2021) - 2020
- [j1]Yaesop Lee, Jing Xie, Eungjoo 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 Comput. Neurosci. 14: 43 (2020) - [c3]Reza Monfaredi, Pavel Yarmolenko, Eungjoo Lee, Viktoriya Beskin, Kevin Cleary, Karun Sharma:
MRI-compatible needle guidance toolkit to streamline arthrography procedures: phantom accuracy study. Image-Guided Procedures 2020: 113150H
2010 – 2019
- 2019
- [c2]Eungjoo Lee, William Plishker, Xinyang Liu, Timothy D. Kane, Shuvra S. Bhattacharyya, Raj Shekhar:
Segmentation of surgical instruments in laparoscopic videos: training dataset generation and deep-learning-based framework. Image-Guided Procedures 2019: 109511T - [c1]Honglei Li, Lei Pan, Eungjoo Lee, Zhu Li, Matthew J. Hoffman, Anthony Vodacek, Shuvra S. Bhattacharyya:
Hyperspectral Video Processing on Resource-Constrained Platforms. WHISPERS 2019: 1-5
Coauthor Index
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