Identification of Luminal and Medial Adventitial Borders in Intravascular Ultrasound Images Using Level Sets. - Ali Iskurt; Sema Candemir; Yusuf Sinan Akgul (ISCIS, 2006)

Adaptive Regularization Parameter for Graph Cut Segmentation. - Sema Candemir; Yusuf Sinan Akgul (ICIAR (1), 2010)

Statistical Significance Based Graph Cut Segmentation for Shrinking Bias. - Sema Candemir; Yusuf Sinan Akgul (ICIAR (1), 2011)

İstatistiksel anlam tabanlı bilgisyarla görme uygulamaları (Statistical significance based computer vision applications) - Sema Candemir (2011)

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. - Rengarajan Pelapur; Sema Candemir; Filiz Bunyak; Mahdieh Poostchi; Guna Seetharaman; Kannappan Palaniappan (FUSION, 2012)

KL based data fusion for target tracking. - Jing Peng 001; Kannappan Palaniappan; Sema Candemir; Guna Seetharaman (ICPR, 2012)

Feature prominence-based weighting scheme for video tracking. - Sema Candemir; Kannappan Palaniappan; Filiz Bunyak; Raghuveer M. Rao; Guna Seetharaman (ICVGIP, 2012)

Multi-class regularization parameter learning for graph cut image segmentation. - Sema Candemir; Kannappan Palaniappan; Yusuf Sinan Akgul (ISBI, 2013)

Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations. - KC Santosh; Sema Candemir; Stefan Jäger 001; Les R. Folio; Alexandros Karargyris; Sameer K. Antani; George R. Thoma (CBMS, 2014)

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration. - Sema Candemir; Stefan Jaeger 001; Kannappan Palaniappan; Jonathan P. Musco; Rahul K. Singh; Zhiyun Xue; Alexandros Karargyris; Sameer K. Antani; George R. Thoma; Clement J. McDonald (IEEE Trans. Medical Imaging, 2014)

Automatic Tuberculosis Screening Using Chest Radiographs. - Stefan Jaeger 001; Alexandros Karargyris; Sema Candemir; Les R. Folio; Jenifer Siegelman; Fiona M. Callaghan; Zhiyun Xue; Kannappan Palaniappan; Rahul K. Singh; Sameer K. Antani; George R. Thoma; Yi-Xiang J. Wang; et al. (IEEE Trans. Medical Imaging, 2014)

Foreign object detection in chest X-rays. - Zhiyun Xue; Sema Candemir; Sameer K. Antani; L. Rodney Long; Stefan Jaeger 001; Dina Demner-Fushman; George R. Thoma (BIBM, 2015)

Chest X-ray Image View Classification. - Zhiyun Xue; Daekeun You; Sema Candemir; Stefan Jaeger 001; Sameer K. Antani; L. Rodney Long; George R. Thoma (CBMS, 2015)

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control. - KC Santosh; Sema Candemir; Stefan Jäger 001; Alexandros Karargyris; Sameer K. Antani; George R. Thoma; Les R. Folio (Int. J. Pattern Recognit. Artif. Intell., 2015)

RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. - Sema Candemir; Eugene Borovikov; KC Santosh; Sameer K. Antani; George R. Thoma (Image Vis. Comput., 2015)

Automatic heart localization and radiographic index computation in chest x-rays. - Sema Candemir; Stefan Jaeger 001; Wilson Lin; Zhiyun Xue; Sameer K. Antani; George R. Thoma (Computer-Aided Diagnosis, 2016)

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. - Alexandros Karargyris; Jenifer Siegelman; Dimitris Tzortzis; Stefan Jaeger 001; Sema Candemir; Zhiyun Xue; KC Santosh; Szilárd Vajda; Sameer K. Antani; Les R. Folio; George R. Thoma (Int. J. Comput. Assist. Radiol. Surg., 2016)

Atlas-based rib-bone detection in chest X-rays. - Sema Candemir; Stefan Jaeger 001; Sameer K. Antani; Ulas Bagci; Les R. Folio; Ziyue Xu 001; George R. Thoma (Comput. Medical Imaging Graph., 2016)

Novel Method for Storyboarding Biomedical Videos for Medical Informatics. - Sema Candemir; Sameer K. Antani; Zhiyun Xue; George R. Thoma (CBMS, 2017)

Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. - Jongwoo Kim; Sema Candemir; Emily Y. Chew; George R. Thoma (CBMS, 2018)

A novel stacked generalization of models for improved TB detection in chest radiographs. - Sivaramakrishnan Rajaraman; Sema Candemir; Zhiyun Xue; Philip O. Alderson; Marc D. Kohli; Joseph Abuya; George R. Thoma; Sameer K. Antani (EMBC, 2018)

Comparing deep learning models for population screening using chest radiography. - Sivaramakrishnan Rajaraman; Sameer K. Antani; Sema Candemir; Zhiyun Xue; Joseph Abuya; Marc D. Kohli; Philip O. Alderson; George R. Thoma (Computer-Aided Diagnosis, 2018)

Detecting drug-resistant tuberculosis in chest radiographs. - Stefan Jäger 001; Octavio H. Juarez-Espinosa; Sema Candemir; Mahdieh Poostchi; Feng Yang 010; Lewis Kim; Meng Ding; Les R. Folio; Sameer K. Antani; Andrei E. Gabrielian; Darrell E. Hurt; Alex Rosenthal; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. - Szilárd Vajda; Alexandros Karargyris; Stefan Jäger 001; KC Santosh; Sema Candemir; Zhiyun Xue; Sameer K. Antani; George R. Thoma (J. Medical Syst., 2018)

Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. - Sivaramakrishnan Rajaraman; Sema Candemir; George R. Thoma; Sameer K. Antani (Computer-Aided Diagnosis, 2019)

A review on lung boundary detection in chest X-rays. - Sema Candemir; Sameer K. Antani (Int. J. Comput. Assist. Radiol. Surg., 2019)

Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. - Sema Candemir; Richard D. White; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Luciano M. Prevedello; Barbaros S. Erdal (CoRR, 2019)

Hybrid Automatic Lung Segmentation on Chest CT Scans. - Tao Peng 013; Thomas Canhao Xu; Yihuai Wang; Hailing Zhou; Sema Candemir; Wan Mimi Diyana Wan Zaki; Shanq-Jang Ruan; Jing Wang 022; Xinjian Chen 001 (IEEE Access, 2020)

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. - Sema Candemir; Richard D. White; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Luciano M. Prevedello; Barbaros S. Erdal (Comput. Medical Imaging Graph., 2020)

Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. - Sema Candemir; Xuan V. Nguyen; Luciano M. Prevedello; Matthew T. Bigelow; Richard D. White; Barbaros S. Erdal (CoRR, 2020)

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. - Vikash Gupta; Mutlu Demirer; Matthew T. Bigelow; Kevin J. Little; Sema Candemir; Luciano M. Prevedello; Richard D. White; Thomas P. O'Donnell; Michael Wels; Barbaros S. Erdal (J. Digit. Imaging, 2020)

Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. - Richard D. White; Barbaros S. Erdal; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Engin Dikici; Sema Candemir; Mauricio S. Galizia; Jessica L. Carpenter; Thomas P. O'Donnell; Abdul H. Halabi; Luciano M. Prevedello (J. Digit. Imaging, 2021)

Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT. - Xuan V. Nguyen; Devi D. Nelakurti; Engin Dikici; Sema Candemir; Daniel J. Boulter; Luciano M. Prevedello (Inf., 2022)

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. - Sema Candemir; Robert Moranville; Kelvin A. Wong; Warren Campbell; Matthew T. Bigelow; Luciano M. Prevedello; Mina S. Makary (J. Digit. Imaging, 2023)