Berkman Sahiner

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 54

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

CoRR

Medical Imaging: Digital Pathology

Publications

Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. AISTATS (2024)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS (2024)
Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR (2024)
J. McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi
DICaugment: A Python Package for 3D Medical Imaging Augmentation. J. Open Source Softw. 9 (96) (2024)
Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano
Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR (2024)
Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR (2023)
Xianglong Wang, Berkman Sahiner, Christopher G. Scully, Kenny H. Cha
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. EMBC (2023)
Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. CoRR (2023)
Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Medical Imaging: Computer-Aided Diagnosis (2023)
Aldo Badano, M. Lago, E. Sizikova, J. G. Delfino, S. Guan, M. A. Anastasio, Berkman Sahiner
The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR (2023)
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
Is this model reliable for everyone? Testing for strong calibration. CoRR (2023)
Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. NeurIPS (2023)
Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. UAI (2022)
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. J. Am. Medical Informatics Assoc. 29 (5) (2022)
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR (2022)
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
Sequential algorithmic modification with test data reuse. CoRR (2022)
Yee Lam Elim Thompson, Gary Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson
Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis (2022)
Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner
Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve. SIAM J. Math. Data Sci. 3 (2) (2021)
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. CoRR (2021)
Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
Assessment of bone fragility in projection images using radiomic features. Medical Imaging: Computer-Aided Diagnosis (2021)
Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI (2020)
Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Medical Imaging: Computer-Aided Diagnosis (2019)
Aria Pezeshk, Sardar Hamidian, Nicholas Petrick, Berkman Sahiner
3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Nada Kamona, Qin Li, Benjamin P. Berman, Berkman Sahiner, Nicholas Petrick
Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. Medical Imaging: Computer-Aided Diagnosis (2019)
Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Medical Imaging: Digital Pathology (2019)
Yang Yang, Berkman Sahiner, Zhipeng Huang, Nicholas Petrick, Weijie Chen
Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
A database for assessment of effect of lossy compression on digital mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
Towards the use of computationally inserted lesions for mammographic CAD assessment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Alexej Gossmann, Aria Pezeshk, Berkman Sahiner
Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Medical Imaging: Digital Pathology (2018)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Medical Imaging: Digital Pathology (2018)
Berkman Sahiner
Digital Mammography DREAM Challenge Overview (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis (2017)
Yin Aphinyanaphongs, David Holmes, Berkman Sahiner, Parsa Mirhaji, Michael Draugelis
The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning Based Models in Clinical Practice. AMIA (2017)
Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner
Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging 36 (4) (2017)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Medical Imaging: Digital Pathology (2017)
Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
3D convolutional neural network for automatic detection of lung nodules in chest CT. Medical Imaging: Computer-Aided Diagnosis (2017)
Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Mark A. Helvie, Alexis V. Nees, Hyun Chin Cho
A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions. IEICE Trans. Inf. Syst. (6) (2016)
Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
Three scenarios of ranking inconsistencies involving search tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Xin He, Rongping Zeng, Frank W. Samuelson, Berkman Sahiner
Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick
Semi-parametric estimation of the area under the precision-recall curve. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
Seamless lesion insertion in digital mammography: methodology and reader study. Medical Imaging: Computer-Aided Diagnosis (2016)
Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers
Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. 48 (1) (2015)
Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana'ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski, Metin N. Gurcan
Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 15 (2015)
Kevin M. Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2015)
Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Medical Imaging: Computer-Aided Diagnosis (2015)
Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Medical Imaging: Computer-Aided Diagnosis (2015)
Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. Medical Imaging: Computer-Aided Diagnosis (2015)
Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. 62 (12) (2015)
Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
Seamless insertion of real pulmonary nodules in chest CT exams. Medical Imaging: Computer-Aided Diagnosis (2014)
Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI (2013)
Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick
Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. Medical Imaging: Computer-Aided Diagnosis (2013)
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Medical Imaging: Computer-Aided Diagnosis (2013)
Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers
ROC-like optimization by sample ranking: Application to CT colonography. ISBI (2012)
Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Mark A. Helvie, Alexis V. Nees
Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback. Medical Imaging: Computer-Aided Diagnosis (2012)
Hyun-chong Cho, Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Chintana Paramagul, Alexis V. Nees
A similarity study between the query mass and retrieved masses using decision tree content-based image retrieval (DTCBIR) CADx system for characterization of ultrasound breast mass images. Medical Imaging: Computer-Aided Diagnosis (2012)
Lubomir M. Hadjiiski, Hyun-chong Cho, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Chintana Paramagul, Alexis V. Nees
Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems. Digital Mammography / IWDM (2012)
Rui Peng, Rongping Zeng, Eugene O'Bryan, Cecilia Marini-Bettolo, Berkman Sahiner, Kyle J. Myers, Robert J. Jennings
An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. Digital Mammography / IWDM (2012)
Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging 31 (5) (2012)
Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Medical Imaging: Computer-Aided Diagnosis (2012)
Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
Computer vision approach to detect colonic polyps in computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis (2012)
Jun Wei, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu
Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation. Medical Imaging: Computer-Aided Diagnosis (2011)
Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Mark A. Helvie, Alexis V. Nees, Chintana Paramagul
Similarity evaluation between query and retrieved masses using a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images: an observer study. Medical Imaging: Computer-Aided Diagnosis (2011)
Heang-Ping Chan, Berkman Sahiner, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou, Mark A. Helvie
Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach. Medical Imaging: Computer-Aided Diagnosis (2010)
Jun Wei, Heang-Ping Chan, Chuan Zhou, Mark A. Helvie, Lubomir M. Hadjiiski, Berkman Sahiner
Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study. Medical Imaging: Computer-Aided Diagnosis (2010)
Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, Berkman Sahiner, Chuan Zhou, Mark A. Helvie
Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views. Medical Imaging: Computer-Aided Diagnosis (2010)
Lubomir M. Hadjiiski, Heang-Ping Chan, Mohannad Ibrahim, Berkman Sahiner, Sachin Gujar, Suresh K. Mukherji
Interobserver variability effects on computerized volume analysis of treatment response of head and neck lesions in CT. Medical Imaging: Computer-Aided Diagnosis (2010)
Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Smita Patel, Lubomir M. Hadjiiski, Berkman Sahiner, Jun Wei, Ella A. Kazerooni
Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software. Medical Imaging: Computer-Aided Diagnosis (2010)
Jun Wei, Heang-Ping Chan, Chuan Zhou, Yi-Ta Wu, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects. Medical Imaging: Computer-Aided Diagnosis (2009)
Jing Cui, Berkman Sahiner, Heang-Ping Chan, Jiazheng Shi, Alexis V. Nees, Chintana Paramagul, Lubomir M. Hadjiiski
A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2009)
Heang-Ping Chan, Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms. Medical Imaging: Computer-Aided Diagnosis (2009)
Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou
Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography. Medical Imaging: Computer-Aided Diagnosis (2009)
Chuan Zhou, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Aamer Chughtai, Smita Patel, Jun Wei, Philip N. Cascade, Ella A. Kazerooni
Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans. Medical Imaging: Computer-Aided Diagnosis (2009)
Jing Cui, Berkman Sahiner, Heang-Ping Chan, Alexis V. Nees, Chintana Paramagul, Lubomir M. Hadjiiski, Chuan Zhou, Jiazheng Shi
Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2008)
Lubomir M. Hadjiiski, Peter Filev, Heang-Ping Chan, Jun Ge, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux
Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms. Digital Mammography / IWDM (2008)
Lubomir M. Hadjiiski, Ethan Street, Berkman Sahiner, Sachin Gujar, Mohannad Ibrahim, Heang-Ping Chan, Suresh K. Mukherji
Volume analysis of treatment response of head and neck lesions using 3D level set segmentation. Medical Imaging: Computer-Aided Diagnosis (2008)
Jun Ge, Heang-Ping Chan, Berkman Sahiner, Chuan Zhou, Mark A. Helvie, Jun Wei, Lubomir M. Hadjiiski, Yiheng Zhang, Yi-Ta Wu, Jiazheng Shi
Automated detection of breast vascular calcification on full-field digital mammograms. Medical Imaging: Computer-Aided Diagnosis (2008)
Heang-Ping Chan, Jun Wei, Yiheng Zhang, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose. Digital Mammography / IWDM (2008)
Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Lubomir M. Hadjiiski, Mark A. Helvie, Yi-Ta Wu, Jun Ge, Yiheng Zhang, Chuan Zhou, Jun Wei
Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method. Medical Imaging: Computer-Aided Diagnosis (2008)
Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
Performance Analysis of Three-Class Classifiers: Properties of a 3-D ROC Surface and the Normalized Volume Under the Surface for the Ideal Observer. IEEE Trans. Medical Imaging 27 (2) (2008)
Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chintana Paramagul, Alexis V. Nees, Mark A. Helvie, Jiazheng Shi
Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin. Medical Imaging: Computer-Aided Diagnosis (2008)
Jing Cui, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Alexis V. Nees, Lubomir M. Hadjiiski, Yi-Ta Wu
Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network. Medical Imaging: Computer-Aided Diagnosis (2008)
Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Ge, Jun Wei
Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography. Digital Mammography / IWDM (2008)
Heang-Ping Chan, Yi-Ta Wu, Berkman Sahiner, Yiheng Zhang, Jun Wei, Richard H. Moore, Daniel B. Kopans, Mark A. Helvie, Lubomir M. Hadjiiski, Ted Way
Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. Medical Imaging: Computer-Aided Diagnosis (2008)
Lubomir M. Hadjiiski, Berkman Sahiner, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou, Heang-Ping Chan
Automated detection of ureteral wall thickening on multi-detector row CT urography. Medical Imaging: Computer-Aided Diagnosis (2008)
Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. Neural Networks 21 (2-3) (2008)
Jun Wei, Heang-Ping Chan, Yiheng Zhang, Berkman Sahiner, Chuan Zhou, Jun Ge, Yi-Ta Wu, Lubomir M. Hadjiiski
Classification of breast masses and normal tissues in digital tomosynthesis mammography. Medical Imaging: Computer-Aided Diagnosis (2008)
Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Smita Patel, Prachi Pragya Agarwal, Lubomir M. Hadjiiski, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni
Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans. Medical Imaging: Computer-Aided Diagnosis (2008)
Yi-Ta Wu, Berkman Sahiner, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Mark A. Helvie, Yiheng Zhang, Jiazheng Shi, Chuan Zhou, Jun Ge, Jing Cui
Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients. Medical Imaging: Computer-Aided Diagnosis (2008)
Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Jiazheng Shi, Ted Way, Philip N. Cascade, Ella A. Kazerooni, Chuan Zhou, Jun Wei
The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a data set annotated by multiple radiologists. Medical Imaging: Computer-Aided Diagnosis (2007)
Yi-Ta Wu, Chuan Zhou, Lubomir M. Hadjiiski, Jiazheng Shi, Jun Wei, Chintana Paramagul, Berkman Sahiner, Heang-Ping Chan
A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms. Medical Imaging: Image Processing (2007)
Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers. IJCNN (2007)
Jun Wei, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Mark A. Helvie, Jun Ge, Chuan Zhou, Yi-Ta Wu
Computer-aided detection of breast masses on prior mammograms. Medical Imaging: Computer-Aided Diagnosis (2007)
Lubomir M. Hadjiiski, Ted Way, Berkman Sahiner, Heang-Ping Chan, Philip Cascade, Naama Bogot, Ella A. Kazerooni, Chuan Zhou
Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations. Medical Imaging: Computer-Aided Diagnosis (2007)
Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai, Smita Patel, Philip N. Cascade, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni
Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs. Medical Imaging: Computer-Aided Diagnosis (2007)

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Berkman Sahiner