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2020 – today
- 2024
[j23]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): 6120 (2024)- [j22]Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria:
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. npj Digit. Medicine 7(1) (2024) - [j21]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:
Applying queueing theory to evaluate wait-time-savings of triage algorithms. Queueing Syst. Theory Appl. 108(3): 579-610 (2024) - [c132]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. AISTATS 2024: 181-189 - [c131]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: 919-927 - [c130]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: 587-608 - [c129]Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. MICCAI (3) 2024: 734-744 - [i11]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 abs/2402.08088 (2024) - [i10]Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller:
TorchSurv: A Lightweight Package for Deep Survival Analysis. CoRR abs/2404.10761 (2024) - [i9]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 abs/2407.01561 (2024) - [i8]Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. CoRR abs/2408.00191 (2024) - 2023
- [c128]Xianglong Wang, Berkman Sahiner, Christopher G. Scully, Kenny H. Cha:
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. EMBC 2023: 1-5 - [c127]Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala:
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Computer-Aided Diagnosis 2023 - [c126]Arian Arab, Victor Garcia, Shuyue Guan, Brandon D. Gallas, Berkman Sahiner, Nicholas Petrick, Weijie Chen:
Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. Digital and Computational Pathology 2023 - [c125]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c124]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 - [i7]Aldo Badano, Miguel A. Lago, Elena Sizikova, Jana G. Delfino, S. Guan, Mark A. Anastasio, Berkman Sahiner:
The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. CoRR abs/2301.08719 (2023) - [i6]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. CoRR abs/2307.15247 (2023) - [i5]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 abs/2310.18494 (2023) - [i4]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 abs/2311.11463 (2023) - 2022
- [j20]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): 841-852 (2022) - [c123]Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick:
Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis 2022 - [c122]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c121]Yee Lam Elim Thompson, Gary M. 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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c120]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. UAI 2022: 674-684 - [i3]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. CoRR abs/2203.11377 (2022) - [i2]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 abs/2211.09781 (2022) - 2021
- [j19]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): 692-714 (2021) - [c119]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. Computer-Aided Diagnosis 2021 - [i1]Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio:
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. CoRR abs/2110.06866 (2021) - 2020
- [c118]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: 523-531 - [c117]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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160S
2010 – 2019
- 2019
- [j18]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): 2080-2090 (2019) - [c116]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. Computer-Aided Diagnosis 2019: 109501S - [c115]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. Computer-Aided Diagnosis 2019: 1095004 - [c114]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:
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Digital Pathology 2019: 109560R - 2018
- [c113]Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan:
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Digital Pathology 2018: 1058103 - [c112]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Digital Pathology 2018: 1058106 - [c111]Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner:
Towards the use of computationally inserted lesions for mammographic CAD assessment. Image Perception, Observer Performance, and Technology Assessment 2018: 105770L - [c110]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. Image Perception, Observer Performance, and Technology Assessment 2018: 105770K - [c109]Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
A database for assessment of effect of lossy compression on digital mammograms. Image Perception, Observer Performance, and Technology Assessment 2018: 1057706 - [c108]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. Image Perception, Observer Performance, and Technology Assessment 2018: 1057713 - 2017
- [j17]Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner:
Seamless Lesion Insertion for Data Augmentation in CAD Training. IEEE Trans. Medical Imaging 36(4): 1005-1015 (2017) - [c107]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 - [c106]Berkman Sahiner:
Digital Mammography DREAM Challenge Overview (Conference Presentation). Computer-Aided Diagnosis 2017: 101344I - [c105]Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
3D convolutional neural network for automatic detection of lung nodules in chest CT. Computer-Aided Diagnosis 2017: 1013409 - [c104]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Digital Pathology 2017: 101400E - 2016
- [j16]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. 99-D(6): 1663-1670 (2016) - [c103]Aria Pezeshk, Nicholas Petrick, Berkman Sahiner:
Seamless lesion insertion in digital mammography: methodology and reader study. Computer-Aided Diagnosis 2016: 97850J - [c102]Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner:
Three scenarios of ranking inconsistencies involving search tasks. Image Perception, Observer Performance, and Technology Assessment 2016: 97870U - [c101]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. Image Perception, Observer Performance, and Technology Assessment 2016: 97870R - [c100]Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick:
Semi-parametric estimation of the area under the precision-recall curve. Image Perception, Observer Performance, and Technology Assessment 2016: 97870D - 2015
- [j15]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: 115 (2015) - [j14]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): 276-287 (2015) - [j13]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): 2812-2827 (2015) - [c99]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:
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 2015: 94140S - [c98]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. Computer-Aided Diagnosis 2015: 94140C - [c97]Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick:
Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2015: 94140A - [c96]Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner:
Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. Computer-Aided Diagnosis 2015: 94141V - 2014
- [c95]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis 2014: 90351K - 2013
- [c94]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: 584-593 - [c93]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. Computer-Aided Diagnosis 2013: 86701M - [c92]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. Computer-Aided Diagnosis 2013: 86701L - 2012
- [j12]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): 1141-1153 (2012) - [c91]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: 478-481 - [c90]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: 482-489 - [c89]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: 650-657 - [c88]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. Computer-Aided Diagnosis 2012: 83150B - [c87]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. Computer-Aided Diagnosis 2012: 83151S - [c86]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. Computer-Aided Diagnosis 2012: 831509 - [c85]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. Computer-Aided Diagnosis 2012: 831528 - 2011
- [c84]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. Computer-Aided Diagnosis 2011: 79632F - [c83]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. Computer-Aided Diagnosis 2011: 796311 - 2010
- [c82]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. Computer-Aided Diagnosis 2010: 76240A - [c81]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. Computer-Aided Diagnosis 2010: 76240O - [c80]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. Computer-Aided Diagnosis 2010: 76241D - [c79]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. Computer-Aided Diagnosis 2010: 76241F - [c78]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. Computer-Aided Diagnosis 2010: 76243G
2000 – 2009
- 2009
- [c77]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. Computer-Aided Diagnosis 2009: 72600S - [c76]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. Computer-Aided Diagnosis 2009: 72600L - [c75]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. Computer-Aided Diagnosis 2009: 72600B - [c74]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. Computer-Aided Diagnosis 2009: 72602H - [c73]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. Computer-Aided Diagnosis 2009: 72603R - 2008
- [j11]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): 476-483 (2008) - [j10]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): 215-227 (2008) - [c72]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: 279-285 - [c71]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: 336-342 - [c70]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: 371-377 - [c69]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. Computer-Aided Diagnosis 2008: 69150H - [c68]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. Computer-Aided Diagnosis 2008: 69150O - [c67]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. Computer-Aided Diagnosis 2008: 69151N - [c66]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. Computer-Aided Diagnosis 2008: 69152U - [c65]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. Computer-Aided Diagnosis 2008: 69152A - [c64]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. Computer-Aided Diagnosis 2008: 691506 - [c63]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. Computer-Aided Diagnosis 2008: 691508 - [c62]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. Computer-Aided Diagnosis 2008: 691512 - [c61]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. Computer-Aided Diagnosis 2008: 691517 - [c60]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. Computer-Aided Diagnosis 2008: 691520 - [c59]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. Computer-Aided Diagnosis 2008: 691521 - 2007
- [c58]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: 1762-1766 - [c57]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. Computer-Aided Diagnosis 2007: 65140L - [c56]Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Yi-Ta Wu, Jun Wei:
Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching. Computer-Aided Diagnosis 2007: 65140R - [c55]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. Computer-Aided Diagnosis 2007: 65142F - [c54]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. Computer-Aided Diagnosis 2007: 651405 - [c53]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. Computer-Aided Diagnosis 2007: 651411 - [c52]Heang-Ping Chan, Jun Wei, Yiheng Zhang, Richard H. Moore, Daniel B. Kopans, Lubomir M. Hadjiiski, Berkman Sahiner, Marilyn A. Roubidoux, Mark A. Helvie:
Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information. Computer-Aided Diagnosis 2007: 651416