Application of time-frequency distributions to magnetic resonance imaging of non-constant flow. - Berkman Sahiner; Andrew E. Yagle (ICASSP, 1990)

Time-frequency distribution inversion of the Radon transform [image reconstruction]. - Berkman Sahiner; Andrew E. Yagle (IEEE Trans. Image Process., 1993)

A fast algorithm for backprojection with linear interpolation. - Berkman Sahiner; Andrew E. Yagle (IEEE Trans. Image Process., 1993)

Image reconstruction from projections under wavelet constraints. - Berkman Sahiner; Andrew E. Yagle (IEEE Trans. Signal Process., 1993)

Region-of-interest reconstruction from projections using exponential radial sampling. - Berkman Sahiner; Andrew E. Yagle (ICASSP, 1995)

Detection of masses on mammograms using a convolution neural network. - Datong Wei; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick (ICASSP, 1995)

Region-of-interest tomography using exponential radial sampling. - Berkman Sahiner; Andrew E. Yagle (IEEE Trans. Image Process., 1995)

Reconstruction from projections under time-frequency constraints. - Berkman Sahiner; Andrew E. Yagle (IEEE Trans. Medical Imaging, 1995)

Effects of pixel size on classification of microcalcifications on digitized mammograms. - Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Kwok Leung Lam; Mark A. Helvie (Image Processing, 1996)

Classification of masses on mammograms using rubber-band straightening transform and feature analysis. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Dorit D. Adler; Mitchell M. Goodsitt (Image Processing, 1996)

An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection. - Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner; Datong Wei (IEEE Trans. Medical Imaging, 1996)

Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Datong Wei; Mark A. Helvie; Dorit D. Adler; Mitchell M. Goodsitt (IEEE Trans. Medical Imaging, 1996)

Neural network design for optimization of the partial area under the receiver operating characteristic curve. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; S. Sanjay-Gopal; Mitchell M. Goodsitt (ICNN, 1997)

Neural network based segmentation using a priori image models. - S. Sanjay-Gopal; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick (ICNN, 1997)

Iterative Inversion of the Radon Transform using Image-Adaptive Wavelet Constraints. - Berkman Sahiner; Andrew E. Yagle (ICIP (2), 1998)

Effects of sample size on classifier design for computer-aided diagnosis. - Heang-Ping Chan; Berkman Sahiner; Robert F. Wagner; Nicholas Petrick (Image Processing, 1998)

Computerized characterization of breast masses using three-dimensional ultrasound images. - Berkman Sahiner; Gerald L. LeCarpentier; Heang-Ping Chan; Marilyn A. Roubidoux; Nicholas Petrick; Mitchell M. Goodsitt; S. Sanjay-Gopal; Paul L. Carson (Image Processing, 1998)

Regional mammogram registration technique for automated analysis of interval changes of breast lesions. - S. Sanjay-Gopal; Heang-Ping Chan; Nicholas Petrick; Todd E. Wilson; Berkman Sahiner; Mark A. Helvie; Mitchell M. Goodsitt (Image Processing, 1998)

Components of variance in ROC analysis of CADx classifier performance. - Robert F. Wagner; Heang-Ping Chan; Joseph T. Mossoba; Berkman Sahiner; Nicholas Petrick (Image Processing, 1998)

Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie (Image Processing, 1999)

Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size. - Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Robert F. Wagner; Lubomir M. Hadjiiski (Image Processing, 1999)

Components of variance in ROC analysis of CADx classifier performance: II. Applications of the bootstrap. - Robert F. Wagner; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Joseph T. Mossoba (Image Processing, 1999)

Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie (IEEE Trans. Medical Imaging, 1999)

Interval change analysis in temporal pairs of mammograms using a local affine transformation. - Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Mark A. Helvie; Sophie Paquerault; Chuan Zhou 002 (Image Processing, 2000)

Evaluation of an automated computer-aided diagnosis system for the detection of masses on prior mammograms. - Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner; Mark A. Helvie; Sophie Paquerault (Image Processing, 2000)

Computerized image analysis: estimation of breast density on mammograms. - Chuan Zhou 002; Heang-Ping Chan; Nicholas Petrick; Berkman Sahiner; Mark A. Helvie; Marilyn A. Roubidoux; Lubomir M. Hadjiiski; Mitchell M. Goodsitt (Image Processing, 2000)

Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction. - Metin Nafi Gürcan; Nicholas Petrick; Berkman Sahiner; Heang-Ping Chan; Philip N. Cascade; Ella A. Kazerooni; Lubomir M. Hadjiiski (Image Processing, 2001)

Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Metin Nafi Gürcan (Image Processing, 2001)

Improvement of mammographic lesion detection by fusion of information from different views. - Sophie Paquerault; Nicholas Petrick; Heang-Ping Chan; Berkman Sahiner (Image Processing, 2001)

Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. - Berkman Sahiner; Nicholas Petrick; Heang-Ping Chan; Sophie Paquerault; Mark A. Helvie; Lubomir M. Hadjiiski (Image Processing, 2001)

Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization. - Berkman Sahiner; Nicholas Petrick; Heang-Ping Chan; Lubomir M. Hadjiiski; Chintana Paramagul; Mark A. Helvie; Metin N. Gurcan (IEEE Trans. Medical Imaging, 2001)

Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications. - Metin Nafi Gürcan; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features. - Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Nicholas Petrick; Mark A. Helvie; Marilyn A. Roubidoux; Metin Nafi Gürcan (Image Processing, 2002)

Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy. - Berkman Sahiner; Metin Nafi Gürcan; Heang-Ping Chan; Lubomir M. Hadjiiski; Nicholas Petrick; Mark A. Helvie (Image Processing, 2002)

Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study. - Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Nicholas Petrick; Chuan Zhou 002 (Image Processing, 2003)

ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms. - 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; et al. (Image Processing, 2003)

Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images. - Berkman Sahiner; Aditya Ramachandran; Heang-Ping Chan; Marilyn A. Roubidoux; Lubomir M. Hadjiiski; Mark A. Helvie; Nicholas Petrick; Chuan Zhou 002 (Image Processing, 2003)

Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques. - Chuan Zhou 002; Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Smita Patel; Philip Cascade; Ella A. Kazerooni; Jun Wei 002 (Image Processing, 2003)

Sample size and validation issues on the development of CAD systems. - Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski (CARS, 2004)

Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. - Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Nicholas Petrick; Mark A. Helvie; Chuan Zhou 002; Zhanyu Ge (Image Processing, 2004)

Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method. - Zhanyu Ge; Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Jun Wei 002; Naama Bogot; Philip N. Cascade; Ella A. Kazerooni; Chuan Zhou 002 (Image Processing, 2004)

ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms. - 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; et al. (Image Processing, 2004)

Multimodality CAD: combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization. - Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Marilyn A. Roubidoux; Chintana Paramagul; Mark A. Helvie; Chuan Zhou 002 (Image Processing, 2004)

Computerized multiple image analysis on mammograms: performance improvement of nipple identification for registration of multiple views using texture convergence analyses. - Chuan Zhou 002; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Chintana Paramagul (Image Processing, 2004)

Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. - Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Nicholas Petrick; Jun Ge; Chuan Zhou 002 (Image Processing, 2005)

Computer-aided detection of microcalcification clusters on full-field digital mammograms: multiscale pyramid enhancement and false positive reduction using an artificial neural network. - Jun Ge; Jun Wei 002; Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Mark A. Helvie; Chuan Zhou 002 (Image Processing, 2005)

False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images. - Berkman Sahiner; Zhanyu Ge; Heang-Ping Chan; Lubomir M. Hadjiiski; Naama Bogot; Philip N. Cascade; Ella A. Kazerooni (Image Processing, 2005)

Comparison of decision tree classifiers with neural network and linear discriminant analysis classifiers for computer-aided diagnosis: a Monte Carlo simulation study. - Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Chuan Zhou 002; Jun Wei 002 (Image Processing, 2005)

Computerized pectoral muscle identification on MLO-view mammograms for CAD applications. - Chuan Zhou 002; Lubomir M. Hadjiiski; Chintana Paramagul; Berkman Sahiner; Heang-Ping Chan; Jun Wei 002 (Image Processing, 2005)

Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms. - Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Chuan Zhou 002; Jun Ge; Yiheng Zhang (Image Processing, 2006)

Regularized discriminate analysis for breast mass detection on full field digital mammograms. - Jun Wei 002; Berkman Sahiner; Yiheng Zhang; Heang-Ping Chan; Lubomir M. Hadjiiski; Chuan Zhou 002; Jun Ge; Yi-Ta Wu (Image Processing, 2006)

Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction. - Jun Ge; Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Chuan Zhou 002; Jun Wei 002; Yiheng Zhang (Image Processing, 2006)

Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers. - Lubomir M. Hadjiiski; Douglas Drouillard; Heang-Ping Chan; Berkman Sahiner; Mark A. Helvie; Marilyn A. Roubidoux; Chuan Zhou 002 (Image Processing, 2006)

Automated detection of ureter abnormalities on multi-detector row CT urography. - Lubomir M. Hadjiiski; Berkman Sahiner; Elaine M. Caoili; Richard H. Cohan; Heang-Ping Chan (Image Processing, 2006)

Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. - Sophie Paquerault; Nicholas Petrick; Berkman Sahiner; Kyle J. Myers; Heang-Ping Chan (Image Processing, 2006)

Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules. - Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Chuan Zhou 002; Jun Wei 002 (Image Processing, 2006)

Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction. - Yi-Ta Wu; Lubomir M. Hadjiiski; Jun Wei 002; Chuan Zhou 002; Berkman Sahiner; Heang-Ping Chan (Image Processing, 2006)

Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images. - Chuan Zhou 002; Heang-Ping Chan; Lubomir M. Hadjiiski; Smita Patel; Philip N. Cascade; Berkman Sahiner; Jun Wei 002; Jun Ge; Ella A. Kazerooni (Image Processing, 2006)

Computer-aided detection of breast masses on prior mammograms. - Jun Wei 002; Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Marilyn A. Roubidoux; Mark A. Helvie; Jun Ge; Chuan Zhou 002; Yi-Ta Wu (Computer-Aided Diagnosis, 2007)

Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information. - Heang-Ping Chan; Jun Wei 002; Yiheng Zhang; Richard H. Moore; Daniel B. Kopans; Lubomir M. Hadjiiski; Berkman Sahiner; Marilyn A. Roubidoux; Mark A. Helvie (Computer-Aided Diagnosis, 2007)

Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations. - Lubomir M. Hadjiiski; Ted Way; Berkman Sahiner; Heang-Ping Chan; Philip Cascade; Naama Bogot; Ella A. Kazerooni; Chuan Zhou 002 (Computer-Aided Diagnosis, 2007)

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. - Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Jiazheng Shi; Ted Way; Philip N. Cascade; Ella A. Kazerooni; Chuan Zhou 002; Jun Wei 002 (Computer-Aided Diagnosis, 2007)

Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching. - Jiazheng Shi; Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Chuan Zhou 002; Yi-Ta Wu; Jun Wei 002 (Computer-Aided Diagnosis, 2007)

Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs. - Chuan Zhou 002; Heang-Ping Chan; Lubomir M. Hadjiiski; Aamer Chughtai; Smita Patel; Philip N. Cascade; Berkman Sahiner; Jun Wei 002; Jun Ge; Ella A. Kazerooni (Computer-Aided Diagnosis, 2007)

Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information. - Jun Ge; Heang-Ping Chan; Berkman Sahiner; Yiheng Zhang; Jun Wei 002; Lubomir M. Hadjiiski; Chuan Zhou 002 (Image Processing, 2007)

A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms. - Yi-Ta Wu; Chuan Zhou 002; Lubomir M. Hadjiiski; Jiazheng Shi; Jun Wei 002; Chintana Paramagul; Berkman Sahiner; Heang-Ping Chan (Image Processing, 2007)

Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose. - Heang-Ping Chan; Jun Wei 002; Yiheng Zhang; Berkman Sahiner; Lubomir M. Hadjiiski; Mark A. Helvie (Digital Mammography / IWDM, 2008)

Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms. - Lubomir M. Hadjiiski; Peter Filev; Heang-Ping Chan; Jun Ge; Berkman Sahiner; Mark A. Helvie; Marilyn A. Roubidoux (Digital Mammography / IWDM, 2008)

Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography. - Jiazheng Shi; Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski; Jun Ge; Jun Wei 002 (Digital Mammography / IWDM, 2008)

Classification of breast masses and normal tissues in digital tomosynthesis mammography. - Jun Wei 002; Heang-Ping Chan; Yiheng Zhang; Berkman Sahiner; Chuan Zhou 002; Jun Ge; Yi-Ta Wu; Lubomir M. Hadjiiski (Computer-Aided Diagnosis, 2008)

Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. - Heang-Ping Chan; Yi-Ta Wu; Berkman Sahiner; Yiheng Zhang; Jun Wei 002; Richard H. Moore; Daniel B. Kopans; Mark A. Helvie; Lubomir M. Hadjiiski; Ted Way (Computer-Aided Diagnosis, 2008)

Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images. - Jing Cui; Berkman Sahiner; Heang-Ping Chan; Alexis V. Nees; Chintana Paramagul; Lubomir M. Hadjiiski; Chuan Zhou 002; Jiazheng Shi (Computer-Aided Diagnosis, 2008)

Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network. - Jing Cui; Berkman Sahiner; Heang-Ping Chan; Chintana Paramagul; Alexis V. Nees; Lubomir M. Hadjiiski; Yi-Ta Wu (Computer-Aided Diagnosis, 2008)

Automated detection of breast vascular calcification on full-field digital mammograms. - Jun Ge; Heang-Ping Chan; Berkman Sahiner; Chuan Zhou 002; Mark A. Helvie; Jun Wei 002; Lubomir M. Hadjiiski; Yiheng Zhang; Yi-Ta Wu; Jiazheng Shi (Computer-Aided Diagnosis, 2008)

Automated detection of ureteral wall thickening on multi-detector row CT urography. - Lubomir M. Hadjiiski; Berkman Sahiner; Elaine M. Caoili; Richard H. Cohan; Chuan Zhou 002; Heang-Ping Chan (Computer-Aided Diagnosis, 2008)

Volume analysis of treatment response of head and neck lesions using 3D level set segmentation. - Lubomir M. Hadjiiski; Ethan Street; Berkman Sahiner; Sachin Gujar; Mohannad Ibrahim; Heang-Ping Chan; Suresh K. Mukherji (Computer-Aided Diagnosis, 2008)

Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin. - Berkman Sahiner; Lubomir M. Hadjiiski; Heang-Ping Chan; Chintana Paramagul; Alexis V. Nees; Mark A. Helvie; Jiazheng Shi (Computer-Aided Diagnosis, 2008)

Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method. - Jiazheng Shi; Berkman Sahiner; Heang-Ping Chan; Chintana Paramagul; Lubomir M. Hadjiiski; Mark A. Helvie; Yi-Ta Wu; Jun Ge; Yiheng Zhang; Chuan Zhou 002; Jun Wei 002 (Computer-Aided Diagnosis, 2008)

Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients. - Yi-Ta Wu; Berkman Sahiner; Heang-Ping Chan; Jun Wei 002; Lubomir M. Hadjiiski; Mark A. Helvie; Yiheng Zhang; Jiazheng Shi; Chuan Zhou 002; Jun Ge; Jing Cui (Computer-Aided Diagnosis, 2008)

Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans. - Chuan Zhou 002; Heang-Ping Chan; Aamer Chughtai; Smita Patel; Prachi Pragya Agarwal; Lubomir M. Hadjiiski; Berkman Sahiner; Jun Wei 002; Jun Ge; Ella A. Kazerooni (Computer-Aided Diagnosis, 2008)

Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. - Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski (Neural Networks, 2008)

Performance Analysis of Three-Class Classifiers: Properties of a 3-D ROC Surface and the Normalized Volume Under the Surface for the Ideal Observer. - Berkman Sahiner; Heang-Ping Chan; Lubomir M. Hadjiiski (IEEE Trans. Medical Imaging, 2008)

Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects. - Jun Wei 002; Heang-Ping Chan; Chuan Zhou 002; Yi-Ta Wu; Berkman Sahiner; Lubomir M. Hadjiiski; Mark A. Helvie (Computer-Aided Diagnosis, 2009)

Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms. - Heang-Ping Chan; Jun Wei 002; Berkman Sahiner; Lubomir M. Hadjiiski; Mark A. Helvie (Computer-Aided Diagnosis, 2009)

A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images. - Jing Cui; Berkman Sahiner; Heang-Ping Chan; Jiazheng Shi; Alexis V. Nees; Chintana Paramagul; Lubomir M. Hadjiiski (Computer-Aided Diagnosis, 2009)

Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography. - Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Chuan Zhou 002 (Computer-Aided Diagnosis, 2009)

Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans. - Chuan Zhou 002; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Aamer Chughtai; Smita Patel; Jun Wei 002; Philip N. Cascade; Ella A. Kazerooni (Computer-Aided Diagnosis, 2009)

Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study. - Jun Wei 002; Heang-Ping Chan; Chuan Zhou 002; Mark A. Helvie; Lubomir M. Hadjiiski; Berkman Sahiner (Computer-Aided Diagnosis, 2010)

Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach. - Heang-Ping Chan; Berkman Sahiner; Jun Wei 002; Lubomir M. Hadjiiski; Chuan Zhou 002; Mark A. Helvie (Computer-Aided Diagnosis, 2010)

Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views. - Lubomir M. Hadjiiski; Heang-Ping Chan; Jun Wei 002; Berkman Sahiner; Chuan Zhou 002; Mark A. Helvie (Computer-Aided Diagnosis, 2010)

Interobserver variability effects on computerized volume analysis of treatment response of head and neck lesions in CT. - Lubomir M. Hadjiiski; Heang-Ping Chan; Mohannad Ibrahim; Berkman Sahiner; Sachin Gujar; Suresh K. Mukherji (Computer-Aided Diagnosis, 2010)

Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software. - Chuan Zhou 002; Heang-Ping Chan; Aamer Chughtai; Smita Patel; Lubomir M. Hadjiiski; Berkman Sahiner; Jun Wei 002; Ella A. Kazerooni (Computer-Aided Diagnosis, 2010)

Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation. - Jun Wei 002; Heang-Ping Chan; Berkman Sahiner; Lubomir M. Hadjiiski; Mark A. Helvie; Chuan Zhou 002; Yao Lu 007 (Computer-Aided Diagnosis, 2011)

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. - Hyun-chong Cho; Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Mark A. Helvie; Alexis V. Nees; Chintana Paramagul (Computer-Aided Diagnosis, 2011)

ROC-like optimization by sample ranking: Application to CT colonography. - Shijun Wang; Matthew McKenna; Nicholas Petrick; Berkman Sahiner; Marius George Linguraru; Zhuoshi Wei; Jianhua Yao 001; Ronald M. Summers (ISBI, 2012)

Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems. - Lubomir M. Hadjiiski; Hyun-chong Cho; Heang-Ping Chan; Berkman Sahiner; Mark A. Helvie; Chintana Paramagul; Alexis V. Nees (Digital Mammography / IWDM, 2012)

An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. - Rui Peng; Rongping Zeng; Eugene O'Bryan; Cecilia Marini-Bettolo; Berkman Sahiner; Kyle J. Myers; Robert J. Jennings (Digital Mammography / IWDM, 2012)

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. - Hyun-chong Cho; Lubomir M. Hadjiiski; Heang-Ping Chan; Berkman Sahiner; Mark A. Helvie; Chintana Paramagul; Alexis V. Nees (Computer-Aided Diagnosis, 2012)

Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback. - Hyun-chong Cho; Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Chintana Paramagul; Mark A. Helvie; Alexis V. Nees (Computer-Aided Diagnosis, 2012)

Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. - Jiamin Liu; Jeremy Hua; Vivek Chellappa; Nicholas Petrick; Berkman Sahiner; Mohammed Farooqui; Gerald Marti; Adrian Wiestner; Ronald M. Summers (Computer-Aided Diagnosis, 2012)

Computer vision approach to detect colonic polyps in computed tomographic colonography. - Matthew T. McKenna; Shijun Wang; Tan B. Nguyen; Joseph E. Burns; Nicholas Petrick; Berkman Sahiner; Ronald M. Summers (Computer-Aided Diagnosis, 2012)

Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. - Shijun Wang; Matthew McKenna; Tan B. Nguyen; Joseph E. Burns; Nicholas Petrick; Berkman Sahiner; Ronald M. Summers (IEEE Trans. Medical Imaging, 2012)

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. - Qin Li 018; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Marios A. Gavrielides; Nicholas Petrick (IPMI, 2013)

Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. - Berkman Sahiner; Xin He; Weijie Chen 007; Heang-Ping Chan; Lubomir M. Hadjiiski; Nicholas Petrick (Computer-Aided Diagnosis, 2013)

Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. - Ravi K. Samala; Heang-Ping Chan; Yao Lu 007; Lubomir M. Hadjiiski; Jun Wei 002; Berkman Sahiner; Mark A. Helvie (Computer-Aided Diagnosis, 2013)

Seamless insertion of real pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2014)

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. - 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 (Computer-Aided Diagnosis, 2015)

Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Computer-Aided Diagnosis, 2015)

Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. - Qin Li 018; Marios A. Gavrielides; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Nicholas Petrick (Computer-Aided Diagnosis, 2015)

Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2015)

Classification of follicular lymphoma: the effect of computer aid on pathologists grading. - Mohammad Faizal Ahmad Fauzi; Michael Pennell; Berkman Sahiner; Weijie Chen 007; Arwa Shana'ah; Jessica Hemminger; Alejandro Gru; Habibe Kurt; Michael Losos; Amy Joehlin-Price; Christina Kavran; Stephen M. Smith 002; et al. (BMC Medical Informatics Decis. Mak., 2015)

Optimizing area under the ROC curve using semi-supervised learning. - Shijun Wang; Diana Li; Nicholas Petrick; Berkman Sahiner; Marius George Linguraru; Ronald M. Summers (Pattern Recognit., 2015)

Seamless Insertion of Pulmonary Nodules in Chest CT Images. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (IEEE Trans. Biomed. Eng., 2015)

Seamless lesion insertion in digital mammography: methodology and reader study. - Aria Pezeshk; Nicholas Petrick; Berkman Sahiner (Computer-Aided Diagnosis, 2016)

Three scenarios of ranking inconsistencies involving search tasks. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. - Xin He; Rongping Zeng; Frank W. Samuelson; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

Semi-parametric estimation of the area under the precision-recall curve. - Berkman Sahiner; Weijie Chen 007; Aria Pezeshk; Nicholas Petrick (Image Perception, Observer Performance, and Technology Assessment, 2016)

A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions. - Hyun-chong Cho; Lubomir M. Hadjiiski; Berkman Sahiner; Heang-Ping Chan; Chintana Paramagul; Mark A. Helvie; Alexis V. Nees; Hyun Chin Cho (IEICE Trans. Inf. Syst., 2016)

The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning Based Models in Clinical Practice. - Yin Aphinyanaphongs; David Holmes; Berkman Sahiner; Parsa Mirhaji; Michael Draugelis (AMIA, 2017)

3D convolutional neural network for automatic detection of lung nodules in chest CT. - Sardar Hamidian; Berkman Sahiner; Nicholas Petrick; Aria Pezeshk (Computer-Aided Diagnosis, 2017)

Digital Mammography DREAM Challenge Overview (Conference Presentation). - Berkman Sahiner (Computer-Aided Diagnosis, 2017)

FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2017)

Seamless Lesion Insertion for Data Augmentation in CAD Training. - Aria Pezeshk; Nicholas Petrick; Weijie Chen 007; Berkman Sahiner (IEEE Trans. Medical Imaging, 2017)

Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. - Çaglar Senaras; Michael Pennell; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2018)

Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. - Çaglar Senaras; Berkman Sahiner; Gary Tozbikian; Gerard Lozanski; Metin N. Gurcan (Digital Pathology, 2018)

Towards the use of computationally inserted lesions for mammographic CAD assessment. - Zahra Ghanian; Aria Pezeshk; Nicholas Petrick; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2018)

Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution. - Alexej Gossmann; Aria Pezeshk; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2018)

A database for assessment of effect of lossy compression on digital mammograms. - Jiheng Wang; Berkman Sahiner; Nicholas Petrick; Aria Pezeshk (Image Perception, Observer Performance, and Technology Assessment, 2018)

Assessment of computerized algorithms by comparing with human observers in binary classification tasks: a simulation study. - Yang Yang; Berkman Sahiner; Zhipeng Huang 007; Nicholas Petrick; Weijie Chen 007 (Image Perception, Observer Performance, and Technology Assessment, 2018)

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. - Kenny H. Cha; Nicholas Petrick; Aria Pezeshk; Christian G. Graff; Diksha Sharma; Andreu Badal; Aldo Badano; Berkman Sahiner (Computer-Aided Diagnosis, 2019)

Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel. - Nada Kamona; Qin Li 018; Benjamin P. Berman; Berkman Sahiner; Nicholas Petrick (Computer-Aided Diagnosis, 2019)

Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. - Çaglar Senaras; M. Khalid Khan Niazi; Vidya Arole; Weijie Chen 007; Berkman Sahiner; Arwa Shana'ah; Abner Louissaint; Robert Paul Hasserjian; Gerard Lozanski; Metin Nafi Gürcan (Digital Pathology, 2019)

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT. - Aria Pezeshk; Sardar Hamidian; Nicholas Petrick; Berkman Sahiner (IEEE J. Biomed. Health Informatics, 2019)

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. - Zahra Ghanian; Andreu Badal; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick; Berkman Sahiner (MLMI@MICCAI, 2020)

Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. - Kenny H. Cha; Alexej Gossmann; Nicholas Petrick; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2020)

Assessment of bone fragility in projection images using radiomic features. - Qian Cao; Nicholas Petrick; Stephanie Coquia; Kenny H. Cha; Rongping Zeng; Keith Wear; Berkman Sahiner; Qin Li 018 (Computer-Aided Diagnosis, 2021)

Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve. - Alexej Gossmann; Aria Pezeshk; Yu-Ping Wang 002; Berkman Sahiner (SIAM J. Math. Data Sci., 2021)

Deciphering deep ensembles for lung nodule analysis. - Ravi K. Samala; Berkman Sahiner; Gene Pennello; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick (Computer-Aided Diagnosis, 2022)

Sequestration of imaging studies in MIDRC: a multi-institutional data commons. - 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 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification (CADt) devices based on queueing theory. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Frank W. Samuelson (Image Perception, Observer Performance, and Technology Assessment, 2022)

Sequential algorithmic modification with test data reuse. - Jean Feng; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio; Alexej Gossmann (UAI, 2022)

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. - Jean Feng; Alexej Gossmann; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio (CoRR, 2022)

Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees. - Jean Feng; Alexej Gossmann; Berkman Sahiner; Romain Pirracchio (J. Am. Medical Informatics Assoc., 2022)

AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. - Xianglong Wang; Berkman Sahiner; Christopher G. Scully; Kenny H. Cha (EMBC, 2023)

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. - Alexis Burgon; Nicholas Petrick; Berkman Sahiner; Gene Pennello; Ravi K. Samala (Computer-Aided Diagnosis, 2023)

Effect of color-normalization on deep learning segmentation models for tumor-infiltrating lymphocytes scoring using breast cancer histopathology images. - Arian Arab; Victor Garcia; Shuyue Guan; Brandon D. Gallas; Berkman Sahiner; Nicholas Petrick; Weijie Chen 007 (Digital and Computational Pathology, 2023)

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. - 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 (Image Perception, Observer Performance, and Technology Assessment, 2023)

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses. - Elena Sizikova; Niloufar Saharkhiz; Diksha Sharma; Miguel A. Lago; Berkman Sahiner; Jana G. Delfino; Aldo Badano (NeurIPS, 2023)

The stochastic digital human is now enrolling for in silico imaging trials - Methods and tools for generating digital cohorts. - Aldo Badano; Miguel A. Lago; Elena Sizikova; Jana G. Delfino; S. Guan; Mark A. Anastasio; Berkman Sahiner (CoRR, 2023)

Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. - Jean Feng; Adarsh Subbaswamy; Alexej Gossmann; Harvineet Singh; Berkman Sahiner; Mi-Ok Kim; Gene Pennello; Nicholas Petrick; Romain Pirracchio; Fan Xia (CoRR, 2023)

Is this model reliable for everyone? Testing for strong calibration. - Jean Feng; Alexej Gossmann; Romain Pirracchio; Nicholas Petrick; Gene Pennello; Berkman Sahiner (AISTATS, 2024)

Monitoring machine learning-based risk prediction algorithms in the presence of performativity. - Jean Feng; Alexej Gossmann; Gene Pennello; Nicholas Petrick; Berkman Sahiner; Romain Pirracchio (AISTATS, 2024)

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. - Jean Feng; Adarsh Subbaswamy; Alexej Gossmann; Harvineet Singh; Berkman Sahiner; Mi-Ok Kim; Gene Anthony Pennello; Nicholas Petrick; Romain Pirracchio; Fan Xia (CLeaR, 2024)

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. - Andrea Seung Kim; Niloufar Saharkhiz; Elena Sizikova; Miguel A. Lago; Berkman Sahiner; Jana G. Delfino; Aldo Badano (MICCAI (3), 2024)

Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. - Ghada Zamzmi; Kesavan Venkatesh; Brandon Nelson; Smriti Prathapan; Paul H. Yi; Berkman Sahiner; Jana G. Delfino (CoRR, 2024)

Synthetic Data in Radiological Imaging: Current State and Future Outlook. - Elena Sizikova; Andreu Badal; Jana G. Delfino; Miguel A. Lago; Brandon Nelson; Niloufar Saharkhiz; Berkman Sahiner; Ghada Zamzmi; Aldo Badano (CoRR, 2024)

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. - Adarsh Subbaswamy; Berkman Sahiner; Nicholas Petrick; Vinay Pai; Roy Adams; Matthew C. Diamond; Suchi Saria (npj Digit. Medicine, 2024)

DICaugment: A Python Package for 3D Medical Imaging Augmentation. - J. McIntosh; Qian Cao; Berkman Sahiner; Nicholas Petrick; Mohammad Mehdi Farhangi (J. Open Source Softw., 2024)

TorchSurv: A Lightweight Package for Deep Survival Analysis. - Mélodie Monod; Peter Krusche; Qian Cao; Berkman Sahiner; Nicholas Petrick; David Ohlssen; Thibaud Coroller (J. Open Source Softw., 2024)

Applying queueing theory to evaluate wait-time-savings of triage algorithms. - Yee Lam Elim Thompson; Gary M. Levine; Weijie Chen 007; Berkman Sahiner; Qin Li 018; Nicholas Petrick; Jana G. Delfino; Miguel A. Lago; Qian Cao; Frank W. Samuelson (Queueing Syst. Theory Appl., 2024)

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. - Alexis Burgon; Yuhang Zhang; Nicholas Petrick; Berkman Sahiner; Kenny H. Cha; Ravi K. Samala (IEEE J. Biomed. Health Informatics, 2025)