Dr. Dong Hye Ye
Dr. Dong Hye YeMarquette University

Haggerty Hall, 218

MilwaukeeWI53201United States of America
(414) 288-4114Website
Curriculum Vitae

Assistant Professor

Electrical and Computer Engineering

Google Scholar Page

Machine Learning and Image Processing (MLIP) Lab

Education

Research Assistant Professor, 2018, Purdue University

Ph. D., 2013, Bioengineering, University of Pennsylvania

M.S., 2008, Electrical and Computer Engineering, Georgia Institute of Technology

B.S., 2007, Electrical Engineering, Seoul National University

Research Interests

  • Machine Learning

  • Image Processing

  • Biomedical Image Analysis

  • Computed Topography

  • Metal Artifact Reduction

  • Microscopic Imaging

  • Automatic Target Recognition

  • Unmanned Aerial Vehicle Detection/Tracking

Selected Recent Publications

Kan, R. Povinelli, D. Ye. "Enhancing Multi-Channel EEG Classification with Gramian Temporal Generative Adversarial Networks." In: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), June 6–11, 2021.

Kan, T. Gilat-Schmidt, D. Ye. "Enhancing Reproductive Organ Segmentation in Pediatric CT via Adversarial Learning." In: Proceedings of the 2021 SPIE International Conference on Medical Imaging (SPIE MI 2021), February 14–18, 2021. 

Lang, D. Saxena, T. Yen, J. Jorns, B. Yu, D. Ye. "Breast Cancer Magnificationindependent Multi-class Histopathology Classification using Dual-step Model." In: Proceedings of the 2021 SPIE International Conference on Medical Imaging (SPIE MI 2021), February 14–18, 2021. 

Aboobacker, G. Gonzalez, F. Zhang, J.Wanek, P. Xue, G. Rao, D. Ye. "Improving Presentation Consistency of Radiographic Images using Deep Learning." In: Proceedings of the 2021 SPIE International Conference on Medical Imaging (SPIE MI 2021), February 14–18, 2021.

Helminiak, H. Hu, J. Laskin, D. Ye. "Deep Learning Approach for Dynamic Sparse
Sampling in Mass Spectrometry Imaging." In: Proceedings of the 2021 IS&T International Symposium on Electronic Imaging (EI 2021), January 18–22, 2021.

Kan, N. Aboobacker, D. Ye. "Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks." In: Proceedings of the 2020 IEEE International Symposium on Biomedical Imaging (ISBI 2020), April 3–7, 2020.

 

Honors and Awards

  • Honorable Mention Poster Award: 2021 SPIE International Conference on Medical Imaging (SPIE MI)
  • Best Paper Award: 2018 International Symposium on Electronic Imaging - Imaging and Multimedia Analytics in a Web and Mobile World (EI-IMAWM)
  • Best Paper Runner-up Award: 2015 International Conference on Image Processing (ICIP)
  • Best Paper Award: 2012 Multimodal Brain Tumor Segmentation Challenge (BRATS)
  • Best Paper Award: 2010 Medical Image Analysis - Medical Image Computing and Computer Assisted Intervention (MedIA-MICCAI)

Grants

"Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass Spectrometry." sponsored by National Institute of Health

"Adaptive Automated Threat Recognition Algorithm for CT-based Object Detection Systems." sponsored by ALERT Department of Homeland Security

"Automatic, Near-Real-Time Detection of Moving Objects in Video." sponsored by Sandia Corporation


Quick Links

CONTACT

Dr. Majeed M. Hayat
Chair and Professor
(414) 288-6820
majeed.hayat@marquette.edu

Ms. Katie Tarara
Office Associate
(414) 288-3518
katie.tarara@marquette.edu

Fax: (414) 288-3951


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