Stefan Jäger

Orcid: 0000-0001-6877-4318

Affiliations:
  • U.S. National Library of Medicine, Bethesda, MD, USA
  • University of Missouri, Columbia, MO, USA


According to our database1, Stefan Jäger authored at least 59 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Assessing Inter-Annotator Agreement for Medical Image Segmentation.
IEEE Access, 2023

Combining Radiological and Genomic TB Portals Data for Drug Resistance Analysis.
IEEE Access, 2023

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases.
Data, 2022

2021

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.
IEEE J. Biomed. Health Informatics, 2021

A Dual Process Model for Optimizing Cross Entropy in Neural Networks.
CoRR, 2021

Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Balancing Access to Federal Data Sets with Enhancing Privacy and Security.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Automated Drug-Resistant TB Screening: Importance of Demographic Features and Radiological Findings in Chest X-Ray.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

The Golden Ratio in Machine Learning.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.
IEEE J. Biomed. Health Informatics, 2020

The Golden Ratio of Learning and Momentum.
CoRR, 2020

Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

A Cell Augmentation Tool for Blood Smear Analysis.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
Smartphone-Supported Malaria Diagnosis Based on Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.
J. Medical Syst., 2018

Detecting drug-resistant tuberculosis in chest radiographs.
Int. J. Comput. Assist. Radiol. Surg., 2018

Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Visualizing Deep Learning Activations for Improved Malaria Cell Classification.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017

Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
Atlas-based rib-bone detection in chest X-rays.
Comput. Medical Imaging Graph., 2016

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.
Int. J. Comput. Assist. Radiol. Surg., 2016

Automatic heart localization and radiographic index computation in chest x-rays.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

CNN-based image analysis for malaria diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control.
Int. J. Pattern Recognit. Artif. Intell., 2015

Chest X-ray Image View Classification.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Foreign object detection in chest X-rays.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Automatic Tuberculosis Screening Using Chest Radiographs.
IEEE Trans. Medical Imaging, 2014

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration.
IEEE Trans. Medical Imaging, 2014

Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
The neurological principle: how traditional Chinese medicine unifies body and mind.
Int. J. Funct. Informatics Pers. Medicine, 2013

2012
The role of location for family reunification during disasters.
Proceedings of the HealthGIS 2012, 2012

Detecting tuberculosis in radiographs using combined lung masks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An information-theoretic neural model based on concepts in Chinese medicine.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Computational Complexity on Signed Numbers
CoRR, 2011

2010
Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010

Dual Channel Colocalization for Cell Cycle Analysis Using 3D Confocal Microscopy.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Signature Detection and Matching for Document Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

DYNAMIK: a software environment for cell DYNAmics, Motility, and Information tracKing, with an application to Ras pathways.
Bioinform., 2009

Tracking cells in Life Cell Imaging videos using topological alignments.
Algorithms Mol. Biol., 2009

TCM in Innate Immunity: A YinYang-N-Element Hypothesis of the Innate Immunological System.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Tracking the Intracellular Dynamics of Transferrin-labeled QDs in Living Panc-1 Cells.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
Review of Classifier Combination Methods.
Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

Combining Classifiers with Informational Confidence.
Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Solving the P/NP Problem under Intrinsic Uncertainty
CoRR, 2008

Entropy, Perception, and Relativity
CoRR, 2008

2007
Multi-scale Structural Saliency for Signature Detection.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A robust stamp detection framework on degraded documents.
Proceedings of the Document Recognition and Retrieval XIII, 2006

DOCLIB: a software library for document processing.
Proceedings of the Document Recognition and Retrieval XIII, 2006

2005
Identifying Script onWord-Level with Informational Confidenc.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004
Using informational confidence values for classifier combination: an experiment with combined on-line/off-line Japanese character recognition.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

1998
Recovering dynamic information from static, handwritten word images: bridging the gap between on-line and off-line handwriting recognition.
PhD thesis, 1998


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