12 Publications by "S. Jaeger"


#350: D. K. Ufuktepe, F. Yang, Y. M. Kassim, H. Yu, R. J. Maude, K. Palaniappan, and S. Jaeger

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1--6, 2021

malaria diagnosis, plasmodium falciparum, plas-modium vivax, microscopy, thin blood smear, machine learning, image analysis

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#335: Y. M. Kassim, K. Palaniappan, F. Yang, M. Poostchi, N. Palaniappan, R. J. Maude, S. Antani, and S. Jaeger

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

2020

Bibtex, PlainText, Software, URL, Google Scholar
#283: M. Poostchi, I. Ersoy, K. McMenamin, E. Gordon, N. Palaniappan, S. Pierce, R. J. Maude, A. Bansal, P. Srinivasan, L. Miller, K. Palaniappan, G. Thoma, and S. Jaeger

Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy

Journal of Medical Imaging, Volume 5, pgs. 1-14, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#241: Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude

CNN - Based Image Analysis for Malaria Diagnosis

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

deep learning, malaira, cells, classification, biomedical

Abstract, Bibtex, PlainText, Google Scholar
#226: J. Kwon, A. Wang, D. J. Burke, H. E. Boudreau, K. J. Lekstrom, A. Korzeniowska, R. Sugamata, Y.-S. Kim, L. Yi, I. Ersoy, S. Jaeger, K. Palaniappan, D. R. Ambruso, S. H. Jackson, and T. L. Leto

Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration

Free Radical Biology and Medicine, 2016

cell migration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#184: S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald

Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration

IEEE Trans. Medical Imaging, Volume 33, pgs. 577-590, 2014

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#189: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#156: S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma

Graph cut based automatic lung boundary detection in chest radiographs

IEEE Healthcare Innovation Conference, 2012

registration, segmentation, graph methods, anatomical, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar
#114: K. Palaniappan, F. Bunyak, P. Kumar, I. Ersoy, S. Jaeger, K. Ganguli, A. Haridas, J. Fraser, R. Rao, and G. Seetharaman

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

13th Int. Conf. Information Fusion, 2010

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#116: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features

7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#115: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Dual channel colocalization for cell cycle analysis using 3D confocal microscopy

IEEE Int. Conf. Pattern Recognition, 2010

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#87: A. Mosig, S. Jaeger, W. Chaofeng, I. Ersoy, S. K. Nath, K. Palaniappan, and S. Chen

Tracking cells in live cell imaging videos using topological alignments

Algorithms in Molecular Biology, Volume 4, pgs. 10p, 2009

cell detection, cell segmentation, cell tracking, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar