Berkman Sahiner

169 papers A* 1A 3B 45Misc 4Journal 37Unranked 79

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. IEEE J. Biomed. Health Informatics Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H. Cha, Ravi K. Samala
2025	J	`jnl`	Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control. J. Imaging Inform. Medicine Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
2024	J	`jnl`	A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. npj Digit. Medicine Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
2024	J	`jnl`	Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Jana G. Delfino, Miguel A. Lago, Qian Cao, Frank W. Samuelson
2024	J	`jnl`	DICaugment: A Python Package for 3D Medical Imaging Augmentation. J. Open Source Softw. Jacob McIntosh, Qian Cao, Berkman Sahiner, Nicholas Petrick, Mohammad Mehdi Farhangi
2024	—	`conf`	Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2024	A	`conf`	Is this model reliable for everyone? Testing for strong calibration. AISTATS Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2024	A	`conf`	Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2024	J	`jnl`	Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
2024	—	`conf`	S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. MICCAI (3) Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2024	J	`jnl`	S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. CoRR Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2024	J	`jnl`	Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano
2024	J	`jnl`	TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
2024	J	`jnl`	TorchSurv: A Lightweight Package for Deep Survival Analysis. J. Open Source Softw. Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
2023	—	`conf`	AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. EMBC Xianglong Wang, Berkman Sahiner, Christopher G. Scully, Kenny H. Cha
2023	—	`conf`	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. Image Perception, Observer Performance, and Technology Assessment 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
2023	—	`conf`	Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Computer-Aided Diagnosis Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
2023	—	`conf`	Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen
2023	J	`jnl`	Is this model reliable for everyone? Testing for strong calibration. CoRR Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner
2023	A*	`conf`	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 Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2023	J	`jnl`	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 Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano
2023	J	`jnl`	The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, Shuyue Guan, Mark A. Anastasio, Berkman Sahiner
2023	J	`jnl`	Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2022	J	`jnl`	Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. J. Am. Medical Informatics Assoc. Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
2022	—	`conf`	Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
2022	J	`jnl`	Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
2022	A	`conf`	Sequential algorithmic modification with test data reuse. UAI Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2022	J	`jnl`	Sequential algorithmic modification with test data reuse. CoRR Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann
2022	—	`conf`	Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Image Perception, Observer Performance, and Technology Assessment 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
2022	—	`conf`	Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. Image Perception, Observer Performance, and Technology Assessment Yee Lam Elim Thompson, Gary M. Levine, Weijie Chen, Berkman Sahiner, Qin Li, Nicholas Petrick, Frank W. Samuelson
2021	—	`conf`	Assessment of bone fragility in projection images using radiomic features. Computer-Aided Diagnosis Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
2021	J	`jnl`	Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. CoRR Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
2021	J	`jnl`	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. Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner
2020	—	`conf`	Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
2020	—	`conf`	Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Image Perception, Observer Performance, and Technology Assessment Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner
2019	J	`jnl`	3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. IEEE J. Biomed. Health Informatics Aria Pezeshk, Sardar Hamidian, Nicholas Petrick, Berkman Sahiner
2019	—	`conf`	Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Computer-Aided Diagnosis Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner
2019	—	`conf`	Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. Computer-Aided Diagnosis Nada Kamona, Qin Li, Benjamin P. Berman, Berkman Sahiner, Nicholas Petrick
2019	—	`conf`	Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Digital Pathology Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2018	—	`conf`	A database for assessment of effect of lossy compression on digital mammograms. Image Perception, Observer Performance, and Technology Assessment Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
2018	—	`conf`	Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. Image Perception, Observer Performance, and Technology Assessment Yang Yang, Berkman Sahiner, Zhipeng Huang, Nicholas Petrick, Weijie Chen
2018	—	`conf`	Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Digital Pathology Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan
2018	—	`conf`	Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution. Image Perception, Observer Performance, and Technology Assessment Alexej Gossmann, Aria Pezeshk, Berkman Sahiner
2018	—	`conf`	Towards the use of computationally inserted lesions for mammographic CAD assessment. Image Perception, Observer Performance, and Technology Assessment Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
2018	—	`conf`	Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Digital Pathology Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2017	—	`conf`	3D convolutional neural network for automatic detection of lung nodules in chest CT. Computer-Aided Diagnosis Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk
2017	—	`conf`	Digital Mammography DREAM Challenge Overview (Conference Presentation). Computer-Aided Diagnosis Berkman Sahiner
2017	—	`conf`	FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Digital Pathology Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
2017	J	`jnl`	Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner
2017	Misc	`conf`	The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning Based Models in Clinical Practice. AMIA Yin Aphinyanaphongs, David Holmes, Berkman Sahiner, Parsa Mirhaji, Michael Draugelis
2016	J	`jnl`	A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions. IEICE Trans. Inf. Syst. Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Mark A. Helvie, Alexis V. Nees, Hyun Chin Cho
2016	—	`conf`	Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. Image Perception, Observer Performance, and Technology Assessment Xin He, Rongping Zeng, Frank W. Samuelson, Berkman Sahiner
2016	—	`conf`	Seamless lesion insertion in digital mammography: methodology and reader study. Computer-Aided Diagnosis Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
2016	—	`conf`	Semi-parametric estimation of the area under the precision-recall curve. Image Perception, Observer Performance, and Technology Assessment Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick
2016	—	`conf`	Three scenarios of ranking inconsistencies involving search tasks. Image Perception, Observer Performance, and Technology Assessment Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
2015	J	`jnl`	Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 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
2015	—	`conf`	Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Computer-Aided Diagnosis Kevin Michael 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
2015	—	`conf`	Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Computer-Aided Diagnosis Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick
2015	—	`conf`	Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Computer-Aided Diagnosis Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick
2015	J	`jnl`	Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers
2015	—	`conf`	Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. Computer-Aided Diagnosis Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
2015	J	`jnl`	Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
2014	—	`conf`	Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
2013	—	`conf`	Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie
2013	—	`conf`	Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. Computer-Aided Diagnosis Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick
2013	—	`conf`	Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick
2012	—	`conf`	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. Computer-Aided Diagnosis Hyun-chong Cho, Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Chintana Paramagul, Alexis V. Nees
2012	—	`conf`	An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. Digital Mammography / IWDM Rui Peng, Rongping Zeng, Eugene O'Bryan, Cecilia Marini-Bettolo, Berkman Sahiner, Kyle J. Myers, Robert J. Jennings
2012	—	`conf`	Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Computer-Aided Diagnosis Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
2012	—	`conf`	Computer vision approach to detect colonic polyps in computed tomographic colonography. Computer-Aided Diagnosis Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2012	—	`conf`	Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems. Digital Mammography / IWDM Lubomir M. Hadjiiski, Hyun-chong Cho, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Chintana Paramagul, Alexis V. Nees
2012	—	`conf`	Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback. Computer-Aided Diagnosis Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Mark A. Helvie, Alexis V. Nees
2012	—	`conf`	ROC-like optimization by sample ranking: Application to CT colonography. ISBI Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers
2012	J	`jnl`	Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2011	—	`conf`	Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation. Computer-Aided Diagnosis Jun Wei, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu
2011	—	`conf`	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. Computer-Aided Diagnosis Hyun-chong Cho, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Mark A. Helvie, Alexis V. Nees, Chintana Paramagul
2010	—	`conf`	Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study. Computer-Aided Diagnosis Jun Wei, Heang-Ping Chan, Chuan Zhou, Mark A. Helvie, Lubomir M. Hadjiiski, Berkman Sahiner
2010	—	`conf`	Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software. Computer-Aided Diagnosis Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Smita Patel, Lubomir M. Hadjiiski, Berkman Sahiner, Jun Wei, Ella A. Kazerooni
2010	—	`conf`	Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach. Computer-Aided Diagnosis Heang-Ping Chan, Berkman Sahiner, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou, Mark A. Helvie
2010	—	`conf`	Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, Berkman Sahiner, Chuan Zhou, Mark A. Helvie
2010	—	`conf`	Interobserver variability effects on computerized volume analysis of treatment response of head and neck lesions in CT. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Heang-Ping Chan, Mohannad Ibrahim, Berkman Sahiner, Sachin Gujar, Suresh K. Mukherji
2009	—	`conf`	A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images. Computer-Aided Diagnosis Jing Cui, Berkman Sahiner, Heang-Ping Chan, Jiazheng Shi, Alexis V. Nees, Chintana Paramagul, Lubomir M. Hadjiiski
2009	—	`conf`	Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou
2009	—	`conf`	Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects. Computer-Aided Diagnosis Jun Wei, Heang-Ping Chan, Chuan Zhou, Yi-Ta Wu, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
2009	—	`conf`	Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms. Computer-Aided Diagnosis Heang-Ping Chan, Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
2009	—	`conf`	Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans. Computer-Aided Diagnosis Chuan Zhou, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Aamer Chughtai, Smita Patel, Jun Wei, Philip N. Cascade, Ella A. Kazerooni
2008	—	`conf`	Automated detection of breast vascular calcification on full-field digital mammograms. Computer-Aided Diagnosis Jun Ge, Heang-Ping Chan, Berkman Sahiner, Chuan Zhou, Mark A. Helvie, Jun Wei, Lubomir M. Hadjiiski, Yiheng Zhang, Yi-Ta Wu, Jiazheng Shi
2008	—	`conf`	Automated detection of ureteral wall thickening on multi-detector row CT urography. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Berkman Sahiner, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou, Heang-Ping Chan
2008	—	`conf`	Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans. Computer-Aided Diagnosis Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Smita Patel, Prachi Pragya Agarwal, Lubomir M. Hadjiiski, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni
2008	—	`conf`	Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography. Digital Mammography / IWDM Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Ge, Jun Wei
2008	—	`conf`	Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method. Computer-Aided Diagnosis 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
2008	—	`conf`	Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network. Computer-Aided Diagnosis Jing Cui, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Alexis V. Nees, Lubomir M. Hadjiiski, Yi-Ta Wu
2008	—	`conf`	Classification of breast masses and normal tissues in digital tomosynthesis mammography. Computer-Aided Diagnosis Jun Wei, Heang-Ping Chan, Yiheng Zhang, Berkman Sahiner, Chuan Zhou, Jun Ge, Yi-Ta Wu, Lubomir M. Hadjiiski
2008	J	`jnl`	Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. Neural Networks Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
2008	—	`conf`	Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients. Computer-Aided Diagnosis 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
2008	—	`conf`	Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms. Digital Mammography / IWDM Lubomir M. Hadjiiski, Peter Filev, Heang-Ping Chan, Jun Ge, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux
2008	—	`conf`	Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin. Computer-Aided Diagnosis Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chintana Paramagul, Alexis V. Nees, Mark A. Helvie, Jiazheng Shi
2008	—	`conf`	Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images. Computer-Aided Diagnosis Jing Cui, Berkman Sahiner, Heang-Ping Chan, Alexis V. Nees, Chintana Paramagul, Lubomir M. Hadjiiski, Chuan Zhou, Jiazheng Shi
2008	—	`conf`	Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose. Digital Mammography / IWDM Heang-Ping Chan, Jun Wei, Yiheng Zhang, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie
2008	—	`conf`	Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. Computer-Aided Diagnosis 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
2008	J	`jnl`	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 Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
2008	—	`conf`	Volume analysis of treatment response of head and neck lesions using 3D level set segmentation. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Ethan Street, Berkman Sahiner, Sachin Gujar, Mohannad Ibrahim, Heang-Ping Chan, Suresh K. Mukherji
2007	B	`conf`	A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms. Image Processing Yi-Ta Wu, Chuan Zhou, Lubomir M. Hadjiiski, Jiazheng Shi, Jun Wei, Chintana Paramagul, Berkman Sahiner, Heang-Ping Chan
2007	—	`conf`	Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs. Computer-Aided Diagnosis Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai, Smita Patel, Philip N. Cascade, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni
2007	B	`conf`	Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers. IJCNN Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski
2007	—	`conf`	Computer-aided detection of breast masses on prior mammograms. Computer-Aided Diagnosis Jun Wei, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Mark A. Helvie, Jun Ge, Chuan Zhou, Yi-Ta Wu
2007	—	`conf`	Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information. Computer-Aided Diagnosis Heang-Ping Chan, Jun Wei, Yiheng Zhang, Richard H. Moore, Daniel B. Kopans, Lubomir M. Hadjiiski, Berkman Sahiner, Marilyn A. Roubidoux, Mark A. Helvie
2007	—	`conf`	Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Ted Way, Berkman Sahiner, Heang-Ping Chan, Philip Cascade, Naama Bogot, Ella A. Kazerooni, Chuan Zhou
2007	B	`conf`	Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information. Image Processing Jun Ge, Heang-Ping Chan, Berkman Sahiner, Yiheng Zhang, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou
2007	—	`conf`	Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching. Computer-Aided Diagnosis Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Yi-Ta Wu, Jun Wei
2007	—	`conf`	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. Computer-Aided Diagnosis Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Jiazheng Shi, Ted Way, Philip N. Cascade, Ella A. Kazerooni, Chuan Zhou, Jun Wei
2006	B	`conf`	Automated detection of ureter abnormalities on multi-detector row CT urography. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Elaine M. Caoili, Richard H. Cohan, Heang-Ping Chan
2006	B	`conf`	Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images. Image Processing Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Smita Patel, Philip N. Cascade, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni
2006	B	`conf`	Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers. Image Processing Lubomir M. Hadjiiski, Douglas Drouillard, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou
2006	B	`conf`	Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction. Image Processing Yi-Ta Wu, Lubomir M. Hadjiiski, Jun Wei, Chuan Zhou, Berkman Sahiner, Heang-Ping Chan
2006	B	`conf`	Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction. Image Processing Jun Ge, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Jun Wei, Yiheng Zhang
2006	B	`conf`	Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules. Image Processing Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jun Wei
2006	B	`conf`	Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Image Processing Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan
2006	B	`conf`	Regularized discriminate analysis for breast mass detection on full field digital mammograms. Image Processing Jun Wei, Berkman Sahiner, Yiheng Zhang, Heang-Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Jun Ge, Yi-Ta Wu
2006	B	`conf`	Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms. Image Processing Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Jun Ge, Yiheng Zhang
2005	B	`conf`	Comparison of decision tree classifiers with neural network and linear discriminant analysis classifiers for computer-aided diagnosis: a Monte Carlo simulation study. Image Processing Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jun Wei
2005	B	`conf`	Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Image Processing Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Nicholas Petrick, Jun Ge, Chuan Zhou
2005	B	`conf`	Computer-aided detection of microcalcification clusters on full-field digital mammograms: multiscale pyramid enhancement and false positive reduction using an artificial neural network. Image Processing Jun Ge, Jun Wei, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Mark A. Helvie, Chuan Zhou
2005	B	`conf`	Computerized pectoral muscle identification on MLO-view mammograms for CAD applications. Image Processing Chuan Zhou, Lubomir M. Hadjiiski, Chintana Paramagul, Berkman Sahiner, Heang-Ping Chan, Jun Wei
2005	B	`conf`	False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images. Image Processing Berkman Sahiner, Zhanyu Ge, Heang-Ping Chan, Lubomir M. Hadjiiski, Naama Bogot, Philip N. Cascade, Ella A. Kazerooni
2004	B	`conf`	Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. Image Processing Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Chuan Zhou, Zhanyu Ge
2004	B	`conf`	Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method. Image Processing Zhanyu Ge, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Wei, Naama Bogot, Philip N. Cascade, Ella A. Kazerooni, Chuan Zhou
2004	B	`conf`	Computerized multiple image analysis on mammograms: performance improvement of nipple identification for registration of multiple views using texture convergence analyses. Image Processing Chuan Zhou, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Chintana Paramagul
2004	B	`conf`	Multimodality CAD: combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization. Image Processing Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Chintana Paramagul, Mark A. Helvie, Chuan Zhou
2004	B	`conf`	ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. Image Processing Lubomir M. Hadjiiski, Mark A. Helvie, Berkman Sahiner, Heang-Ping Chan, Marilyn A. Roubidoux, Alexis V. Nees, Nicholas Petrick, Caroline E. Blane, Chintana Paramagul, Janet E. Bailey, Stephanie Patterson, Katherine Klein, Dorit D. Adler, Michelle Foster, Joseph Shen
2004	—	`conf`	Sample size and validation issues on the development of CAD systems. CARS Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski
2003	B	`conf`	Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques. Image Processing Chuan Zhou, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Smita Patel, Philip Cascade, Ella A. Kazerooni, Jun Wei
2003	B	`conf`	Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. Image Processing Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Chuan Zhou
2003	B	`conf`	ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Caroline E. Blane, Chintana Paramagul, Nicholas Petrick, Janet E. Bailey, Katherine Klein, Michelle Foster, Stephanie Patterson, Dorit D. Adler, Alexis V. Nees, Joseph Shen
2003	B	`conf`	Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. Image Processing Berkman Sahiner, Aditya Ramachandran, Heang-Ping Chan, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mark A. Helvie, Nicholas Petrick, Chuan Zhou
2002	B	`conf`	Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan
2002	B	`conf`	Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Image Processing Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2002	B	`conf`	Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Image Processing Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie
2001	B	`conf`	Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan
2001	J	`jnl`	Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan
2001	B	`conf`	Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Image Processing Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski
2001	B	`conf`	Improvement of mammographic lesion detection by fusion of information from different views. Image Processing Sophie Paquerault, Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner
2001	B	`conf`	Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. Image Processing Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Sophie Paquerault, Mark A. Helvie, Lubomir M. Hadjiiski
2000	B	`conf`	Computerized image analysis: estimation of breast density on mammograms. Image Processing Chuan Zhou, Heang-Ping Chan, Nicholas Petrick, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mitchell M. Goodsitt
2000	B	`conf`	Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. Image Processing Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Sophie Paquerault
2000	B	`conf`	Interval change analysis in temporal pairs of mammograms using a local affine transformation. Image Processing Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Sophie Paquerault, Chuan Zhou
1999	J	`jnl`	Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. IEEE Trans. Medical Imaging Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
1999	B	`conf`	Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. Image Processing Robert F. Wagner, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Joseph T. Mossoba
1999	B	`conf`	Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. Image Processing Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie
1999	B	`conf`	Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. Image Processing Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Robert F. Wagner, Lubomir M. Hadjiiski
1998	B	`conf`	Components of variance in ROC analysis of CADx classifier performance. Image Processing Robert F. Wagner, Heang-Ping Chan, Joseph T. Mossoba, Berkman Sahiner, Nicholas Petrick
1998	B	`conf`	Computerized characterization of breast masses using three-dimensional ultrasound images. Image Processing Berkman Sahiner, Gerald L. LeCarpentier, Heang-Ping Chan, Marilyn A. Roubidoux, Nicholas Petrick, Mitchell M. Goodsitt, S. Sanjay-Gopal, Paul L. Carson
1998	B	`conf`	Effects of sample size on classifier design for computer-aided diagnosis. Image Processing Heang-Ping Chan, Berkman Sahiner, Robert F. Wagner, Nicholas Petrick
1998	—	`conf`	Iterative Inversion of the Radon Transform using Image-Adaptive Wavelet Constraints. ICIP (2) Berkman Sahiner, Andrew E. Yagle
1998	B	`conf`	Regional mammogram registration technique for automated analysis of interval changes of breast lesions. Image Processing S. Sanjay-Gopal, Heang-Ping Chan, Nicholas Petrick, Todd E. Wilson, Berkman Sahiner, Mark A. Helvie, Mitchell M. Goodsitt
1997	—	`conf`	Neural network based segmentation using a priori image models. ICNN S. Sanjay-Gopal, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick
1997	—	`conf`	Neural network design for optimization of the partial area under the receiver operating characteristic curve. ICNN Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, S. Sanjay-Gopal, Mitchell M. Goodsitt
1996	J	`jnl`	An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. IEEE Trans. Medical Imaging Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Datong Wei
1996	J	`jnl`	Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Medical Imaging Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Datong Wei, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt
1996	B	`conf`	Classification of masses on mammograms using rubber-band straightening transform and feature analysis. Image Processing Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt
1996	B	`conf`	Effects of pixel size on classification of microcalcifications on digitized mammograms. Image Processing Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok Leung Lam, Mark A. Helvie
1995	Misc	`conf`	Detection of masses on mammograms using a convolution neural network. ICASSP Datong Wei, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick
1995	J	`jnl`	Reconstruction from projections under time-frequency constraints. IEEE Trans. Medical Imaging Berkman Sahiner, Andrew E. Yagle
1995	Misc	`conf`	Region-of-interest reconstruction from projections using exponential radial sampling. ICASSP Berkman Sahiner, Andrew E. Yagle
1995	J	`jnl`	Region-of-interest tomography using exponential radial sampling. IEEE Trans. Image Process. Berkman Sahiner, Andrew E. Yagle
1993	J	`jnl`	A fast algorithm for backprojection with linear interpolation. IEEE Trans. Image Process. Berkman Sahiner, Andrew E. Yagle
1993	J	`jnl`	Image reconstruction from projections under wavelet constraints. IEEE Trans. Signal Process. Berkman Sahiner, Andrew E. Yagle
1993	J	`jnl`	Time-frequency distribution inversion of the Radon transform [image reconstruction]. IEEE Trans. Image Process. Berkman Sahiner, Andrew E. Yagle
1990	Misc	`conf`	Application of time-frequency distributions to magnetic resonance imaging of non-constant flow. ICASSP Berkman Sahiner, Andrew E. Yagle