Publications

AI and Cancer Research

Eungjoo Lee et al.

Cancer Research Guidance for Clinicians and Researchers, Springer Nature

Paper

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated 'Corruptions', an EndoVis'24 Challenge

SegSTRONG-C Challenge Consortium, including Eungjoo Lee

IEEE Transactions on Medical Imaging

Paper

BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating

Gaurav Sharma, Eungjoo Lee

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

PaperCode

AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge

MICCAI Challenge Consortium, including Eungjoo Lee

Signal, Image and Video Processing

Paper

Hypoxia Induces Adaptive Lymphangiogenesis via Cd74 and Vegfr3 to Modulate Pulmonary Hypertension

M. Elizabeth Moss et al., including Eungjoo Lee

Circulation Research

Paper

Artificial Intelligence for Detection and Staging of Alzheimer's Disease Using Retinal Images

Meet Panjwani et al., including Eungjoo Lee

Cochrane Database of Systematic Reviews (review protocol)

Paper

Prediction of Response to Spinal Cord Stimulation Using Machine Learning Based on Radiomics and Patient-Reported Outcomes

Eungjoo Lee et al.

Neurosurgery

Paper

Application of Deep Learning for Advanced Detection and Quantification of Drusen in Nonexudative AMD From Retinal Multispectral Imaging

Igor Kozak et al., including Eungjoo Lee

Translational Vision Science and Technology

Paper

RAMPSeg: A Robust Calibration-Free Image Segmentation Method for Reliable Melt Pool Analysis in Laser Powder Bed Fusion

Nazmul Hasan, Eungjoo Lee, Andrew Wessman, Mohammed Shafae

Journal of Intelligent Manufacturing

Investigating Machine Learning Algorithms to Classify Label-Free Images of Pancreatic Neuroendocrine Neoplasms

Noelle Daigle et al., including Eungjoo Lee

Biophotonics Discovery

Paper

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Eungjoo Lee, Lei Pan, Zhu Li, Shuvra S. Bhattacharyya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Paper

Deep Learning-Based Medical Object Detection: A Survey

Mohammadreza Saraei, Mehrshad Lalinia, Eungjoo Lee

IEEE Access

Paper

Development of a Modular Real-Time Shared-Control System for a Smart Wheelchair

Vaishanth Ramaraj et al., including Eungjoo Lee

Journal of Signal Processing Systems

Paper

Evaluation of a Novel MRI-Safe Needle Guidance Toolkit for Streamlined Arthrography Procedures: Cadaver Study

Reza Monfaredi et al., including Eungjoo Lee

Scientific Reports

Paper

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

Martin Wagner et al., including Eungjoo Lee

Medical Image Analysis

Paper

Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions

Eungjoo Lee et al.

Journal of Digital Imaging

Paper

HIFA-LPR: High-Frequency Augmented License Plate Recognition in Low-Quality Legacy Conditions via Gradual End-to-End Learning

Sung Jin Lee, Jun Seok Yun, Eungjoo Lee, Seok Bong Yoo

Mathematics

Paper

Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning

Eungjoo Lee et al.

Journal of Digital Imaging

Paper

Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging

Yaesop Lee et al., including Eungjoo Lee

Frontiers in Computational Neuroscience

Paper

Deep Super-Resolution Imaging Technology: Toward Optical Super-Vision

Seok Bong Yoo, Eungjoo Lee

IEEE Consumer Electronics Magazine

Paper

Weakly Supervised Segmentation for Real-Time Surgical Tool Tracking

Eungjoo Lee et al.

IET Healthcare Technology Letters

Paper

FedTTA: Enabling Robust Federated Test-Time Adaptation in Adverse Weather for Distributed Surveillance

Hunmin Lee, Tanya Evita George, Eungjoo Lee

SPIE Real-Time Image Processing and Deep Learning

Code

RVO-MIS: Robust Visual Odometry for Minimally Invasive Surgery

Zhuo Wang, Chiang-Heng Chien, Eungjoo Lee

Medical Imaging with Deep Learning (MIDL)

PaperCodeProject page

Mitigating Domain Shift in Concept Bottleneck Models for Diabetic Retinopathy Grading via Learnable Concept Projection

Yunyoung Lee, Eungjoo Lee

SPIE Medical Imaging

Paper

A Contactless Gaze-to-Reaction-Time Pipeline for Screening-Oriented Visual Field Assessment

Puneeth Samarla, Anjani Bollapragada, Paul Chong, Eungjoo Lee

SPIE Medical Imaging

PaperCode

Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking

Jisu Kim, Alex Mattingly, Eungjoo Lee, Benjamin Riggan

IEEE International Conference on Automatic Face and Gesture Recognition (FG)

Paper

SLRBC: Self-Supervised Learning for Red Blood Cell Segmentation and Classification with a Biased Contrastive Loss

Yicheng Leng, Eungjoo Lee

SPIE Medical Imaging

Paper

Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection

Yicheng Leng et al., including Eungjoo Lee

IEEE International Symposium on Biomedical Imaging (ISBI)

Paper

Lightweight TransUNet with Knowledge Distillation for Efficient Medical Image Segmentation

Husain Al Yusuf, Jayant Biradar, Eungjoo Lee

SPIE Defense + Commercial Sensing

Paper

Multimodal Learning for Enhanced Detection in Oral Cancer Screening

Jiayi Zhang, Yuchen Tian, Bofan Song, Eungjoo Lee

IEEE International Symposium on Biomedical Imaging (ISBI)

Paper

Child FER: Domain-Agnostic Facial Expression Recognition in Children Using a Secondary Image Diffusion Model

Eungi Lee, Eungjoo Lee, Syed Muhammad Anwar, Seok Bong Yoo (first two authors contributed equally)

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Paper

Exploring Action Recognition in Endoscopy Video Datasets

Yuchen Tian, Sidike Paheding, Ehsan Azimi, Eungjoo Lee

SPIE Real-Time Image Processing and Deep Learning

Paper

Hyperspectral Image Classification with Retentive Network

Sidike Paheding et al., including Eungjoo Lee

SPIE Pattern Recognition and Prediction XXXV

Paper

Multi-Scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-Supervised Learning

Aravind Shrenivas Murali, Marino Chuquilín, Eungjoo Lee

Diabetic Foot Ulcers Grand Challenge, Springer Nature

Paper

Automated Segmentation of Nucleus in Scattering-based Light Sheet Microscopy Images

Yongjun Kim et al., including Eungjoo Lee

Optica Biophotonics Congress: Biomedical Optics

Paper

EADTC: An Approach to Interpretable and Accurate Crime Prediction

Yujunrong Ma, Kiminori Nakamura, Eungjoo Lee, Shuvra S. Bhattacharyya

IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Paper

Real-Time Face Tracking Based on a Configurable Ensemble of Detectors

Eungjoo Lee and Alexander Mattingly (equal contribution) et al.

IEEE Asilomar Conference on Signals, Systems, and Computers

Paper

Object Detection on Resource-Constrained Platforms Using a Configurable Ensemble of Detectors

Eungjoo Lee and Alex Mattingly (equal contribution) et al.

SPIE Real-Time Image Processing and Deep Learning

Paper

Archangel Dataset: UAV-Based Imagery with Position and Pose Metadata

Yaesop Lee et al., including Eungjoo Lee

SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV

Paper

Recognition of Facial Expression Using Spatial Transformation Network and Convolutional Neural Network

Jieun Kim, Eungjoo Lee, Deokwoo Lee

SPIE Pattern Recognition and Tracking XXXIII

Paper

Self-Supervised Pre-Training Improves Fundus Image Classification for Diabetic Retinopathy

Joohyung Lee, Eungjoo Lee (first two authors contributed equally)

SPIE Real-Time Image Processing and Deep Learning

Paper

DCT-Based Hyperspectral Image Classification on Resource-Constrained Platforms

Eungjoo Lee et al.

IEEE Workshop on Hyperspectral Imaging and Signal Processing (WHISPERS)

Paper

Validation of Object Detection in UAV-Based Images Using Synthetic Data

Eungjoo Lee et al.

SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III

Paper

MRI-Compatible Needle Guidance Toolkit That Streamlines Arthrography Procedures: Phantom Accuracy Study

Reza Monfaredi et al., including Eungjoo Lee

SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling

Paper

Hyperspectral Video Processing on Resource-Constrained Platforms

Honglei Li et al., including Eungjoo Lee

IEEE Workshop on Hyperspectral Imaging and Signal Processing (WHISPERS)

Paper

Segmentation of Surgical Instruments in Laparoscopic Videos: Training Dataset Generation and Deep-Learning-Based Framework

Eungjoo Lee et al.

SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling

Paper

Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging

Eungjoo Lee et al.

Workshop on Clinical Image-Based Procedures (CLIP), Springer LNCS

Paper

Exploiting Simplified Depth Estimation for Stereo-Based 2D Object Detection

Yaesop Lee et al., including Eungjoo Lee

IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

Paper

DR.GRPO: Diabetic Retinopathy Grading through Group Relative Policy Optimization

Haewon Hwang, Igor Kozak, Eungjoo Lee

Society for AI in Vision and Ophthalmology (SAIVO) Annual Meeting

Efficient MoE-Enhanced Vision Transformer with Adaptive Token Sampling for Cross-Scanner OCT Classification

Hansol Ko, Igor Kozak, Eungjoo Lee

SAIVO Annual Meeting

From Fundus to Diagnosis: End-to-End Binocular-Monocular Framework for Ocular Disease Classification with Evidence-Based Reasoning

Jekyung Lee, Igor Kozak, Eungjoo Lee

SAIVO Annual Meeting

Class-Aware Channel Pruning with Resource-Aware Optimization for Efficient Retinal OCT Classification

Minju Hyun, Igor Kozak, Eungjoo Lee

SAIVO Annual Meeting

Establishing a Pilot Benchmark for Epiretinal Membrane and Instrument Segmentation in Intraoperative Retinal Surgery Video

Alexander M. Thompson et al., including Eungjoo Lee

ARVO Annual Meeting

Chronic Kidney Disease Detection from Retinal Fundus Images Using the RETFound Foundation Model

Eungjoo Lee, Rishabh Bhattad, Felipe Murati, Igor Kozak

ARVO Annual Meeting

Transformer-Based Segmentation of Retina and Choroid in Ophthalmic Ultrasound

Saurav Verma, Eungjoo Lee, Felipe Murati, Igor Kozak

ARVO Annual Meeting

Antelligence: LLM-Powered Swarm Simulation with Biomedical Extensions

Eshaan Mathakari et al., including Eungjoo Lee

IEEE EMBS International Conference on Body Sensor Networks (BSN)

SREndo: Leveraging Super-Resolution Techniques on Endoscopic Datasets for Enhanced Surgical Procedures

Eungjoo Lee, Seok Bong Yoo

Arizona Photonics Days

Best Practices for Surgical Data Challenges Tailored to Artificial Intelligence

Jennifer Eckhoff et al., including Eungjoo Lee

European Association for Endoscopic Surgery (EAES) Annual Meeting

AI-SCD: A Deep Learning Approach for Skin-to-Liver Capsule Distance Measurement to Optimize Shear Wave Elastography Performance

A. Ali et al., including Eungjoo Lee

Radiological Society of North America (RSNA) Annual Meeting

National Institute of Justice's Recidivism Forecasting Challenge: Research Paper, Group MNLB

Yujunrong Ma, Kiminori Nakamura, Eungjoo Lee, Shuvra S. Bhattacharyya

National Institute of Justice

Paper

Synthetic Dataset Generation and Adaptation for Human Detection

Jie Yan, Eungjoo Lee, Damon Conover, Heesung Kwon

U.S. Army Research Laboratory, ARL-TR-9112

Paper