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2020 – today
- 2024
[j22]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)- [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 - [c51]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. Image Processing 2007: 65122U - [c50]Jun Ge, Heang-Ping Chan, Berkman Sahiner, Yiheng Zhang, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou:
Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information. Image Processing 2007: 65124Q - 2006
- [c49]Lubomir M. Hadjiiski, Berkman Sahiner, Elaine M. Caoili, Richard H. Cohan, Heang-Ping Chan:
Automated detection of ureter abnormalities on multi-detector row CT urography. Image Processing 2006: 61441W - [c48]Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Smita Patel, Philip N. Cascade, Berkman Sahiner, Jun Wei, Jun Ge, Ella A. Kazerooni:
Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images. Image Processing 2006: 61444Q - [c47]Jun Wei, Berkman Sahiner, Yiheng Zhang, Heang-Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Jun Ge, Yi-Ta Wu:
Regularized discriminate analysis for breast mass detection on full field digital mammograms. Image Processing 2006: 61445P - [c46]Jun Ge, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Jun Wei, Yiheng Zhang:
Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction. Image Processing 2006: 61445R - [c45]Lubomir M. Hadjiiski, Douglas Drouillard, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou:
Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers. Image Processing 2006: 61445Q - [c44]Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan:
Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Image Processing 2006: 61445N - [c43]Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jun Wei:
Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules. Image Processing 2006: 61445S - [c42]Yi-Ta Wu, Lubomir M. Hadjiiski, Jun Wei, Chuan Zhou, Berkman Sahiner, Heang-Ping Chan:
Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction. Image Processing 2006: 614421 - [c41]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Jun Ge, Yiheng Zhang:
Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms. Image Processing 2006: 614424 - 2005
- [c40]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Nicholas Petrick, Jun Ge, Chuan Zhou:
Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Image Processing 2005 - [c39]Jun Ge, Jun Wei, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Mark A. Helvie, Chuan Zhou:
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 2005 - [c38]Berkman Sahiner, Zhanyu Ge, Heang-Ping Chan, Lubomir M. Hadjiiski, Naama Bogot, Philip N. Cascade, Ella A. Kazerooni:
False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images. Image Processing 2005 - [c37]Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jun Wei:
Comparison of decision tree classifiers with neural network and linear discriminant analysis classifiers for computer-aided diagnosis: a Monte Carlo simulation study. Image Processing 2005 - [c36]Chuan Zhou, Lubomir M. Hadjiiski, Chintana Paramagul, Berkman Sahiner, Heang-Ping Chan, Jun Wei:
Computerized pectoral muscle identification on MLO-view mammograms for CAD applications. Image Processing 2005 - 2004
- [c35]Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski:
Sample size and validation issues on the development of CAD systems. CARS 2004: 872-877 - [c34]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Chuan Zhou, Zhanyu Ge:
Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. Image Processing 2004 - [c33]Zhanyu Ge, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Wei, Naama Bogot, Philip N. Cascade, Ella A. Kazerooni, Chuan Zhou:
Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method. Image Processing 2004 - [c32]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:
ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. Image Processing 2004 - [c31]Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Chintana Paramagul, Mark A. Helvie, Chuan Zhou:
Multimodality CAD: combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization. Image Processing 2004 - [c30]Chuan Zhou, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Chintana Paramagul:
Computerized multiple image analysis on mammograms: performance improvement of nipple identification for registration of multiple views using texture convergence analyses. Image Processing 2004 - 2003
- [c29]Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Chuan Zhou:
Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. Image Processing 2003 - [c28]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:
ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. Image Processing 2003 - [c27]Berkman Sahiner, Aditya Ramachandran, Heang-Ping Chan, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mark A. Helvie, Nicholas Petrick, Chuan Zhou:
Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. Image Processing 2003 - [c26]Chuan Zhou, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Smita Patel, Philip Cascade, Ella A. Kazerooni, Jun Wei:
Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques. Image Processing 2003 - 2002
- [c25]Metin Nafi Gürcan, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie:
Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. Image Processing 2002 - [c24]Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Marilyn A. Roubidoux, Metin Nafi Gürcan:
Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. Image Processing 2002 - [c23]Berkman Sahiner, Metin Nafi Gürcan, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick, Mark A. Helvie:
Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. Image Processing 2002 - 2001
- [j9]Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan:
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. IEEE Trans. Medical Imaging 20(12): 1275-1284 (2001) - [c22]Metin Nafi Gürcan, Nicholas Petrick, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Lubomir M. Hadjiiski:
Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. Image Processing 2001 - [c21]Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Metin Nafi Gürcan:
Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. Image Processing 2001 - [c20]Sophie Paquerault, Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner:
Improvement of mammographic lesion detection by fusion of information from different views. Image Processing 2001 - [c19]Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Sophie Paquerault, Mark A. Helvie, Lubomir M. Hadjiiski:
Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. Image Processing 2001 - 2000
- [c18]Lubomir M. Hadjiiski, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Sophie Paquerault, Chuan Zhou:
Interval change analysis in temporal pairs of mammograms using a local affine transformation. Image Processing 2000 - [c17]Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Sophie Paquerault:
Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. Image Processing 2000 - [c16]Chuan Zhou, Heang-Ping Chan, Nicholas Petrick, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mitchell M. Goodsitt:
Computerized image analysis: estimation of breast density on mammograms. Image Processing 2000
1990 – 1999
- 1999
- [j8]Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie:
Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. IEEE Trans. Medical Imaging 18(12): 1178-1187 (1999) - [c15]Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie:
Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. Image Processing 1999 - [c14]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Robert F. Wagner, Lubomir M. Hadjiiski:
Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. Image Processing 1999 - [c13]Robert F. Wagner, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Joseph T. Mossoba:
Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. Image Processing 1999 - 1998
- [c12]Berkman Sahiner, Andrew E. Yagle:
Iterative Inversion of the Radon Transform using Image-Adaptive Wavelet Constraints. ICIP (2) 1998: 709-713 - [c11]Heang-Ping Chan, Berkman Sahiner, Robert F. Wagner, Nicholas Petrick:
Effects of sample size on classifier design for computer-aided diagnosis. Image Processing 1998 - [c10]Berkman Sahiner, Gerald L. LeCarpentier, Heang-Ping Chan, Marilyn A. Roubidoux, Nicholas Petrick, Mitchell M. Goodsitt, S. Sanjay-Gopal, Paul L. Carson:
Computerized characterization of breast masses using three-dimensional ultrasound images. Image Processing 1998 - [c9]S. Sanjay-Gopal, Heang-Ping Chan, Nicholas Petrick, Todd E. Wilson, Berkman Sahiner, Mark A. Helvie, Mitchell M. Goodsitt:
Regional mammogram registration technique for automated analysis of interval changes of breast lesions. Image Processing 1998 - [c8]Robert F. Wagner, Heang-Ping Chan, Joseph T. Mossoba, Berkman Sahiner, Nicholas Petrick:
Components of variance in ROC analysis of CADx classifier performance. Image Processing 1998 - 1997
- [c7]S. Sanjay-Gopal, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick:
Neural network based segmentation using a priori image models. ICNN 1997: 2455-2459 - [c6]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, S. Sanjay-Gopal, Mitchell M. Goodsitt:
Neural network design for optimization of the partial area under the receiver operating characteristic curve. ICNN 1997: 2468-2471 - 1996
- [j7]Nicholas Petrick, Heang-Ping Chan, Berkman Sahiner, Datong Wei:
An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. IEEE Trans. Medical Imaging 15(1): 59-67 (1996) - [j6]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Datong Wei, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. IEEE Trans. Medical Imaging 15(5): 598-610 (1996) - [c5]Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok Leung Lam, Mark A. Helvie:
Effects of pixel size on classification of microcalcifications on digitized mammograms. Image Processing 1996 - [c4]Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt:
Classification of masses on mammograms using rubber-band straightening transform and feature analysis. Image Processing 1996 - 1995
- [j5]Berkman Sahiner, Andrew E. Yagle:
Region-of-interest tomography using exponential radial sampling. IEEE Trans. Image Process. 4(8): 1120-1127 (1995) - [j4]Berkman Sahiner, Andrew E. Yagle:
Reconstruction from projections under time-frequency constraints. IEEE Trans. Medical Imaging 14(2): 193-204 (1995) - [c3]Berkman Sahiner, Andrew E. Yagle:
Region-of-interest reconstruction from projections using exponential radial sampling. ICASSP 1995: 2299-2302 - [c2]Datong Wei, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick:
Detection of masses on mammograms using a convolution neural network. ICASSP 1995: 3483-3486 - 1993
- [j3]Berkman Sahiner, Andrew E. Yagle:
Time-frequency distribution inversion of the Radon transform [image reconstruction]. IEEE Trans. Image Process. 2(4): 539-543 (1993) - [j2]Berkman Sahiner, Andrew E. Yagle:
A fast algorithm for backprojection with linear interpolation. IEEE Trans. Image Process. 2(4): 547-550 (1993) - [j1]Berkman Sahiner, Andrew E. Yagle:
Image reconstruction from projections under wavelet constraints. IEEE Trans. Signal Process. 41(12): 3579-3584 (1993) - 1990
- [c1]Berkman Sahiner, Andrew E. Yagle:
Application of time-frequency distributions to magnetic resonance imaging of non-constant flow. ICASSP 1990: 1865-1868
Coauthor Index
[j16] [c93] [c92] [c90] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [j11] [j10] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j9] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j8] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [j7] [j6] [c5] [c4] [c2]
Metin Nafi Gürcan
aka: Metin N. Gurcan
aka: Metin N. Gurcan
[j16] [c93] [c92] [c90] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [j11] [j10] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j9] [c22] [c21] [c19] [c18] [c16] [j8] [c15] [c14]
Gene Pennello
aka: Gene Anthony Pennello
aka: Gene Anthony Pennello
[j22] [j21] [c132] [c131] [c130] [i10] [c127] [c126] [i6] [i4] [c123] [c121] [c120] [i3] [i2] [c119] [c118] [c117] [j18] [c116] [c115] [c111] [c109] [c108] [j17] [c105] [c103] [c100] [j14] [j13] [c99] [c98] [c97] [c95] [c94] [c93] [j12] [c91] [c88] [c87] [c44] [c40] [c34] [c32] [c29] [c28] [c27] [c25] [c24] [c23] [j9] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j8] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [j7] [j6] [c5] [c4] [c2]
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