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Stefan
Jaeger
,
PhD
NIH Research Fellow
Location: 
38A
/
10N1003O
Phone Number: (
301
435-3198
Expertise and Research Interests: 

Dr. Stefan Jaeger is an NIH Research Fellow at the Lister Hill National Center for Biomedical Communications at the United States National Library of Medicine (NLM), part of the National Institutes of Health (NIH). He received his diploma in computer science from University of Kaiserslautern and his PhD from University of Freiburg, Germany. Dr. Jaeger has an international research background, both in academia and industry. He has held, among others, positions at Chinese Academy of Sciences, University of Maryland, Tokyo University of Agri. & Tech., University of Karlsruhe, and Daimler. His research interests include biomedical imaging, medical informatics, pattern recognition, machine learning, and Chinese medicine. He has about sixty publications in these areas, several of which received best paper awards and nominations, including two patents.

Professional Activities: 

He is associate editor of Electronic Letters on Computer Vision and Image Analysis, and editorial board member of Quantitative Imaging in Medicine and Surgery.

Honors and Awards: 
  • HHS-Ignite Pathway Team Award for Automatic X-ray Screening for Rural Areas, U.S. Department of Health and Human Services, 2014.
  • Certificate of Appreciation, Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, 2014.
  • IAPR/ICDAR Young Investigator Award Nomination, International Association of Pattern Recognition, International Conference on Document Analysis and Recognition, 2007.
  • Best Student Paper, International Workshop on Frontiers in Handwriting Recognition (IWFHR), La   Baule, France;  Y. Li, Y. Zheng, D. Doermann, S. Jaeger. A New Algorithm for Detecting Text Line in Handwritten Documents, 2006.
  • Best Paper Nomination, International Conference on Document Analysis and Recognition (ICDAR), Seoul, Korea: S. Jaeger, H. Ma, D. Doermann. Identifying Script on Word-Level with Informational  Confidence, 2005.
  • Research Fellowship, New Energy and Industrial Technology Development Organization (NEDO), Japan, Nov. 2000 – March 2003.
  • PhD Thesis Award, German Research Centers for Artificial Intelligence, 1999.
  • Daimler-Benz Graduate Fellow, Daimler-Benz Research Center, Ulm, Germany, 1994 –1998.
Publications/Tools by Stefan Jaeger: 
Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
Lure F, Jaeger S, Antani SK. Automated Systems for microscopic and radiographic tuberculosis screening. Electronic Journal of Emerging Infectious Diseases, Vol. 2, No. 1, pp. 5-9, February 2017. [In Chinese]
Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
Jaeger S, Silamut K, Yu H, Poostchi Mohammadabadi M, Ersoy I, Powell A, Liang Z, Hossain M, Antani SK, Palaniappan K, Maude R, Thoma GR. Reducing the Diagnostic Burden of Malaria Using Microscopy Image Analysis and Machine Learning in the Field. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Atlanta, USA, 2016.
Kwon J, Wang A, Burke DJ, Boudreau HE, Lekstrom KJ, Korzeniowska A, Sugamata R, Kim YS, Yi L, Ersoy I, Jaeger S, Palaniappan K, Ambruso DR, Jackson SH, Leto TL. Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration. Free Radic Biol Med. 2016 Jul;96:99-115. doi: 10.1016/j.freeradbiomed.2016.04.009. Epub 2016 Apr 14.
Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, KC S, Vajda S, Antani SK, Folio L, Thoma GR. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20.
Xue Z, Candemir S, Antani SK, Long LR, Jaeger S, Demner-Fushman D, Thoma GR. Foreign Object Detection in Chest X-rays. Proc IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015, International Workshop on Biomedical and Health Informatics, Bethesda, Maryland, Nov. 9-12, 2015, pp: 56-61.

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