Lubomir M. Hadjiiski

发表

Automated detection of ureteral wall thickening on multi-detector row CT urography

Berkman Sahiner, Lubomir M. Hadjiiski, Elaine M. Caoili, 2008, SPIE Medical Imaging.

TH‐E‐L100J‐03: Digital Breast Tomosynthesis Mammography: Computerized Classification of Malignant and Benign Masses

Berkman Sahiner, Lubomir M. Hadjiiski, H Chan, 2007 .

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2018, Physics in medicine and biology.

Computerized detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): improvement of vessel segmentation

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2011, Medical Imaging.

Bladder cancer treatment response assessment with radiomic, clinical, and radiologist semantic features

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Computer-aided detection of breast masses on prior mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2012, Medical Imaging.

Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2010, Medical Imaging.

WE‐C‐I‐609‐01: Computer‐Aided Diagnosis: Computerized Classification of Malignant and Benign Microcalcifications On Full Field Digital Mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, 2005 .

Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Digital Mammography / IWDM.

Computerized pectoral muscle identification on MLO-view mammograms for CAD applications

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2005, SPIE Medical Imaging.

Automatic staging of bladder cancer on CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, SPIE Medical Imaging.

Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2019, Medical Imaging.

Automated segmentation of urinary bladder and detection of bladder lesions in multi-detector row CT urography

Berkman Sahiner, Lubomir M. Hadjiiski, Elaine M. Caoili, 2009, Medical Imaging.

Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Study of image quality in digital breast tomosynthesis by subpixel reconstruction

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2013, Medical Imaging.

Inter- and intra-observer variability in radiologists' assessment of mass similarity on mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, 2009, Medical Imaging.

Application of neural network approach to physical and technical systems

Lubomir M. Hadjiiski, 1996 .

Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, Digital Mammography / IWDM.

Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA)

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2015, Medical Imaging.

Analysis of the number of distinct findings obtained by multiple readers in an MRMC study: When do findings obtained from the addition of new readers become redundant, or otherwise negligible?

Berkman Sahiner, Lubomir M. Hadjiiski, Laura M. Yarusso, 2011, Medical Imaging.

Quantitative Imaging Network: 12 Years of Accomplishments

Lubomir M. Hadjiiski, Robert J. Nordstrom, R. Nordstrom, 2020, Tomography.

Hybrid unsupervised-supervised approach for computerized classification of malignant and benign masses on mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 1999, Medical Imaging.

Bladder cancer treatment response assessment using deep learning in CT with transfer learning

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2017, Medical Imaging.

COMPASS-based ureter segmentation in CT urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2014, Medical Imaging.

Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, SPIE Medical Imaging.

Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Performance analysis of 3-class classifiers: properties of the 3D ROC surface and the normalized volume under the surface

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2006, SPIE Medical Imaging.

Computerized segmentation of ureters in CT urography (CTU) using COMPASS

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2013, Medical Imaging.

Automated registration of coronary arterial trees from multiple phases in coronary CT angiography (cCTA)

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2013, Medical Imaging.

2D and 3D bladder segmentation using U-Net-based deep-learning

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical Imaging.

A Calibration Tutorial for Spectral Data. Part 2. Partial Least Squares Regression Using Matlab and Some Neural Network Results

Lubomir M. Hadjiiski, Paul Geladi, Harald Martens, 1996 .

Segmentation of urinary bladder in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2004, SPIE Medical Imaging.

Computerized flow and vessel wall analyses of coronary arteries for detection of non-calcified plaques in coronary CT angiography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2016, SPIE Medical Imaging.

Surgical retained foreign object (RFO) prevention by computer aided detection (CAD)

Lubomir M. Hadjiiski, Heang-Ping Chan, Theodore C. Marentis, 2014, Medical Imaging.

Pulmonary vessel segmentation utilizing curved planar reformation and optimal path finding (CROP) in computed tomographic pulmonary angiography (CTPA) for CAD applications

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Medical Imaging.

Design of three-class classifiers in computer-aided diagnosis: Monte Carlo simulation study

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2003, SPIE Medical Imaging.

Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2007, IJCNN.

Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Medical Imaging.

ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2003, SPIE Medical Imaging.

Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Bladder wall segmentation using U-net based deep learning

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2020, Medical Imaging.

Assessment of breast lesions on stereoscopic and monoscopic digital specimen mammograms: an ROC study

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2004, SPIE Medical Imaging.

Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical Imaging.

Curved planar reformation and optimal path tracing (CROP) method for false positive reduction in computer-aided detection of pulmonary embolism in CTPA

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2013, Medical Imaging.

Digital Breast Tomosynthesis (DBT): Computerized Detection of Clustered Microcalcifications in Planar Projection from Multiscale Bilateral Regularized Simultaneous Algebraic Reconstruction

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2013 .

Analysis of temporal change of mammographic features for computer-aided characterization of malignant and benign masses

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2001, SPIE Medical Imaging.

Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, SPIE Medical Imaging.

Computer-aided detection of microcalcification clusters on full-field digital mammograms: multiscale pyramid enhancement and false positive reduction using an artificial neural network

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2005, SPIE Medical Imaging.

Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2003, SPIE Medical Imaging.

Computer-aided Detection of Clustered Microcalcifications in Digital Breast Tomosynthesis: False Positive Reduction Using Bilateral Filtering

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2012 .

Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2014, Medical Imaging.

Multimodality CAD: combination of computerized classification techniques based on mammograms and 3D ultrasound volumes for improved accuracy in breast mass characterization

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2004, SPIE Medical Imaging.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2016, IEICE Trans. Inf. Syst..

Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, SPIE Medical Imaging.

Computerized multiple image analysis on mammograms: performance improvement of nipple identification for registration of multiple views using texture convergence analyses

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2004, SPIE Medical Imaging.

Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2001, IEEE Transactions on Medical Imaging.

Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2015, Medical Imaging.

Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: observer performance study

Berkman Sahiner, Lubomir M. Hadjiiski, Aamer Chughtai, 2007, SPIE Medical Imaging.

Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2017, Medical Imaging.

Improving Image Quality for Digital Breast Tomosynthesis: Automatic Detection and Inpainting Method for Metal Artifact Reduction

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2013 .

Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2020, Medical Imaging.

Digital mammography: observer performance study of the effects of pixel size on radiologists' characterization of malignant and benign microcalcifications

Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, 1999, Medical Imaging.

First and second-order features for detection of masses in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Tomosynthesis reconstruction using the simultaneous algebraic reconstruction technique (SART) on breast phantom data

Berkman Sahiner, Lubomir M. Hadjiiski, Jun Ge, 2006, SPIE Medical Imaging.

False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2005, SPIE Medical Imaging.

Computer-aided detection of bladder mass within contrast-enhanced region of CTU

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2015, Medical Imaging.

Hybrid deep-learning model for volume segmentation of lung nodules in CT images

Lubomir M. Hadjiiski, Yifan Wang, Heang-Ping Chan, 2020, Medical Imaging.

Optimal neural network architecture selection: effects on computer-aided detection of mammographic microcalcifications

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2002, SPIE Medical Imaging.

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.

Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2015, Medical Imaging.

Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Comput. Medical Imaging Graph..

Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective cases

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2019, Medical Imaging.

Computerized image analysis: estimation of breast density on mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2000, Medical Imaging: Image Processing.

Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2017, Medical Imaging.

Breast Parenchymal Pattern (BPP) Analysis: Comparison of Digital Mammograms and Breast Tomosynthesis

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Digital Mammography / IWDM.

Optimal selection of neural network architecture for CAD using simulated annealing

Berkman Sahiner, Nicholas Petrick, Lubomir M. Hadjiiski, 2000 .

Multi-path deep learning model for automated mammographic density categorization

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2019, Medical Imaging.

Analysis of deep convolutional features for detection of lung nodules in computed tomography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2019, Medical Imaging.

Classification of breast masses and normal tissues in digital tomosynthesis mammography

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Automated Registration andClassification TechniquesforInterval ChangeAnalysis in Mammography

Berkman Sahiner, Lubomir M. Hadjiiski, Heang Ping Chan, 2005 .

Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2009, Medical Imaging.

Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, Digital Mammography / IWDM.

Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Medical Imaging.

Automated identification of best-quality coronary artery segments from multiple-phase coronary CT angiography (cCTA) for vessel analysis

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2016, SPIE Medical Imaging.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2011, Medical Imaging.

Quantitative analysis of arterial flow properties for detection of non-calcified plaques in ECG-gated coronary CT angiography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2015, Medical Imaging.

Robustness evaluation of a computer-aided detection system for pulmonary embolism (PE) in CTPA using independent test set from multiple institutions

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2015, Medical Imaging.

Computerized detection of non-calcified plaques in coronary CT angiography: topological soft-gradient detection method for plaque prescreening

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2013, Medical Imaging.

Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Digital stereomammography: observer performance study of the effects of magnification and zooming on depth perception

Lubomir M. Hadjiiski, Chintana Paramagul, Mitchell M. Goodsitt, 2002, SPIE Medical Imaging.

Sample size and validation issues on the development of CAD systems

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2004, CARS.

Digital indirect-detection x-ray imagers with microlens focusing: effects of Fresnel reflections from the microlens layer

Berkman Sahiner, Nicholas Petrick, Lubomir M. Hadjiiski, 2003, SPIE Medical Imaging.

A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2009, Medical Imaging.

Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2004, SPIE Medical Imaging.

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, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, IEEE Transactions on Medical Imaging.

Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Truncation artifact and boundary artifact reduction in breast tomosynthesis reconstruction

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Computerized luminal analysis for detection of non-calcified plaques in coronary CT angiography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2014, Medical Imaging.

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, Chuan Zhou, 2005, SPIE Medical Imaging.

Interobserver variability effects on computerized volume analysis of treatment response of head and neck lesions in CT

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2010, Medical Imaging.

Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2010, Medical Imaging.

Multiscale Bilateral Regularization in Digital Breast Tomosynthesis (DBT)

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2012 .

Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2010, Medical Imaging.

Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2001, SPIE Medical Imaging.

Generalization error analysis: deep convolutional neural network in mammography

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Medical Imaging.

Automated Registration of Volumes of Interest for a Combined X-Ray Tomosynthesis and Ultrasound Breast Imaging System

Lubomir M. Hadjiiski, Heang-Ping Chan, Mitchell M. Goodsitt, 2008, Digital Mammography / IWDM.

Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2009, Medical Imaging.

Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2020, Medical Imaging.

Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2014, Medical Imaging.

Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

Investigation of the Z-axis resolution of breast tomosynthesis mammography systems

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2007, SPIE Medical Imaging.

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, Chuan Zhou, 2007, SPIE Medical Imaging.

Volume analysis of treatment response of head and neck lesions using 3D level set segmentation

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, SPIE Medical Imaging.

Stepwise linear discriminant analysis in computer-aided diagnosis: the effect of finite sample size

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 1999, Medical Imaging.

Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2007, IJCNN.

Use of joint two-view information for computerized lesion detection on mammograms: improvement of microcalcification detection accuracy

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2002, SPIE Medical Imaging.

Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2011, Medical Imaging.

Radiomic modeling of BI-RADS density categories

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2017, Medical Imaging.

Automated identification of spinal cord and vertebras on sagittal MRI

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2014, Medical Imaging.

Digital mammographic imaging using microlens focusing: estimation of light collection and x-ray utilization

Berkman Sahiner, Nicholas Petrick, Lubomir M. Hadjiiski, 1999, Medical Imaging.

Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2018, Other Conferences.

Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Segmentation of urinary bladder in CT Urography (CTU) using CLASS

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2012, Medical Imaging.

Classification of malignant and benign masses based on hybrid ART2LDA approach

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 1999, IEEE Transactions on Medical Imaging.

Computer-aided characterization of malignant and benign microcalcification clusters based on the analysis of temporal change of mammographic features

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2002, SPIE Medical Imaging.

The use of joint two-view information for improving computerized microcalcification detection accuracy

Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, 2003 .

Automatic identification of origins of left and right coronary arteries in CT angiography for coronary arterial tree tracking and plaque detection

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2013, Medical Imaging.

Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2018, Medical Imaging.

Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2017, Medical Imaging.

Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2012, Digital Mammography / IWDM.

Regularized discriminate analysis for breast mass detection on full field digital mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2007, SPIE Medical Imaging.

Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2017, Medical Imaging.

Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2009, Medical Imaging.

Digital tomosynthesis mammography: improvement of artifact reduction method for high-attenuation objects on reconstructed slices

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

BI-RADS guided mammographic mass retrieval

Lubomir M. Hadjiiski, Heang-Ping Chan, Matthew T. Freedman, 2011, Medical Imaging.

Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2004, SPIE Medical Imaging.

Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2014, Medical Imaging.

Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2001, SPIE Medical Imaging.

Multiscale intensity homogeneity transformation method and its application to computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA)

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2013, Medical Imaging.

Interval change analysis in temporal pairs of mammograms using a local affine transformation

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2000, Medical Imaging: Image Processing.

Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2016, Comput. Math. Methods Medicine.

Automatic seed point identification and main artery segmentation for pulmonary vascular tree segmentation and tracking in computed tomographic pulmonary angiography (CTPA)

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2012, Medical Imaging.

Deep learning based bladder cancer treatment response assessment

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical Imaging.

Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Computer-aided detection of bladder masses in CT urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2017, Medical Imaging.

Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2013, Medical Imaging.

Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, SPIE Medical Imaging.

Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.

Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign

Xin He, Berkman Sahiner, Lubomir M. Hadjiiski, 2013, Medical Imaging.

Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2015, Medical Imaging.

Deep convolutional neural network for mammographic density segmentation

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2018, Medical Imaging.

Study of adaptability of breast density analysis system developed for screen film mammograms (SFMs) to full-field digital mammograms (FFDMs): robustness of parenchymal texture analysis

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2011, Medical Imaging.

Computer-aided detection of bladder wall thickening in CT urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2012, Medical Imaging.

Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, SPIE Medical Imaging.

Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, SPIE Medical Imaging.

Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, Digital Mammography / IWDM.

Effects of the continuous and discrete confidence rating scales in ROC observer studies

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2005, SPIE Medical Imaging.

Automated detection of breast vascular calcification on full-field digital mammograms

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2008, SPIE Medical Imaging.

Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network

Lubomir M. Hadjiiski, Mark A. Helvie, Yao Lu, 2020, Medical Imaging.

Computer-aided detection of breast masses on mammograms: performance improvement using a dual system

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2005, SPIE Medical Imaging.

Automatic detection of ureter lesions in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, SPIE Medical Imaging.

Three-dimensional active contour model for characterization of solid breast masses on three-dimensional ultrasound images

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2003, SPIE Medical Imaging.

Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2010, Medical Imaging.

Reference state estimation of breast computed tomography for registration with digital mammography

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Reinforced learning from serial CT to improve the early diagnosis of lung cancer in screening

Lubomir M. Hadjiiski, Heang-Ping Chan, Aamer Chughtai, 2021, Medical Imaging.

Image Processing Analytics: Enhancements and Segmentation

Lubomir M. Hadjiiski, Ravi K. Samala, Heang Ping Chan, 2021, Molecular Imaging.

Deep learning-based risk stratification for treatment management of multiple myeloma with sequential MRI scans

Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, 2021, Medical Imaging.

Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2011, Radiology.

Computer-Aided Diagnosis of Breast Cancer

Berkman Sahiner, Lubomir M. Hadjiiski, Nicholas Petrick, 2005 .

Medical Imaging 2015: Computer-Aided Diagnosis

Lubomir M. Hadjiiski, Georgia D. Tourassi, G. Tourassi, 2015 .

Deep‐learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical physics.

Coronary CT angiography (cCTA): automated registration of coronary arterial trees from multiple phases.

Lubomir M. Hadjiiski, Aamer Chughtai, Jun Wei, 2014, Physics in medicine and biology.

Computerized analysis of coronary artery disease: performance evaluation of segmentation and tracking of coronary arteries in CT angiograms.

Lubomir M. Hadjiiski, Heang-Ping Chan, Aamer Chughtai, 2014, Medical physics.

A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction

Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, 2013, Physics in medicine and biology.

Artifact Reduction Methods for Truncated Projections in Iterative Breast Tomosynthesis Reconstruction

Lubomir M. Hadjiiski, H. Chan, B. Sahiner, 2009, Journal of computer assisted tomography.

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2016, Medical physics.

Deep learning in medical imaging and radiation therapy.

Berkman Sahiner, Lubomir M. Hadjiiski, Karen Drukker, 2018, Medical physics.

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2019, IEEE Transactions on Medical Imaging.

Deep Learning in Medical Image Analysis.

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2020, Advances in experimental medicine and biology.

A minority of patients with functional seizures have abnormalities on neuroimaging

Lubomir M. Hadjiiski, Julio Michael Stern, Wesley T. Kerr, 2021, Journal of the Neurological Sciences.

Effect of finite sample size on feature selection and classification: a simulation study.

Lubomir M. Hadjiiski, H. Chan, B. Sahiner, 2010, Medical physics.

Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning

Lubomir M. Hadjiiski, H. Chan, T. Chenevert, 2023, Tomography.

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

Lubomir M. Hadjiiski, Gabriel Bernardino, Hichem Frigui, 2021, IEEE Transactions on Medical Imaging.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2012, Medical physics.

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2017, Physics in medicine and biology.

CAD and AI for breast cancer - Recent Development and Challenges.

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2019, The British journal of radiology.

Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2019, Medical physics.

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2017, Scientific Reports.

Optimal neural network architecture selection: improvement in computerized detection of microcalcifications.

Berkman Sahiner, Nicholas Petrick, Lubomir M. Hadjiiski, 2002, Academic radiology.

U‐Net based deep learning bladder segmentation in CT urography

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2019, Medical physics.

Urinary bladder cancer staging in CT urography using machine learning

Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan, 2017, Medical physics.

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2016, Medical physics.

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2022, Medical Physics (Lancaster).

Evaluation of computer-aided detection and diagnosis systems.

Berkman Sahiner, Lubomir M. Hadjiiski, David Gur, 2013, Medical physics.

Quantitative Analysis of MR Imaging to Assess Treatment Response for Patients with Multiple Myeloma by Using Dynamic Intensity Entropy Transformation: A Preliminary Study.

Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, 2016, Radiology.

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2019, Tomography.

Bilateral analysis based false positive reduction for computer-aided mass detection.

Lubomir M. Hadjiiski, H. Chan, B. Sahiner, 2007, Medical physics.

Computer-aided diagnosis in the era of deep learning.

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Medical physics.

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2011, Medical physics.

Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

Lubomir M. Hadjiiski, H. Chan, E. Caoili, 2023, Cancers.

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Lubomir M. Hadjiiski, Lin Lu, Yoganand Balagurunathan, 2016, Tomography.

Computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): performance evaluation with independent data sets.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2009, Medical physics.

Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2008, Academic radiology.

Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2007, Medical physics.

Preliminary investigation of computer-aided detection of pulmonary embolism in three-dimensional computed tomography pulmonary angiography images.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2005, Academic radiology.

Risks of Feature Leakage and Sample Size Dependencies in Deep Feature Extraction for Breast Mass Classification.

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2020, Medical Physics (Lancaster).

Aromatase inhibitor-induced modulation of breast density: clinical and genetic effects

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2013, British Journal of Cancer.

Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2012, Radiology.

Computer-aided detection of breast masses: four-view strategy for screening mammography.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2011, Medical physics.

Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Physics in medicine and biology.

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Lubomir M. Hadjiiski, Karen Drukker, Kenny H. Cha, 2018, Journal of medical imaging.

Segmentation of mouse tibia on MRI using deep learning U-Net models

Lubomir M. Hadjiiski, H. Chan, T. Chenevert, 2023, Medical Imaging.

Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2009, Academic radiology.

Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2005, Medical physics.

Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2009, Medical physics.

Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy

c

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2009 .

Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography.

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2016, Medical physics.

Computerized detection of noncalcified plaques in coronary CT angiography: evaluation of topological soft gradient prescreening method and luminal analysis.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2014, Medical physics.

Joint two-view information for computerized detection of microcalcifications on mammograms.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2006, Medical physics.

Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Physics in medicine and biology.

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2018, Physics in medicine and biology.

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2016, Tomography.

Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reduction

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2017, Physics in medicine and biology.

Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2004, Medical physics.

Computerized image analysis: estimation of breast density on mammograms.

Lubomir M. Hadjiiski, N. Petrick, H. Chan, 2001, Medical physics.

Feature selection and classifier performance in computer-aided diagnosis: the effect of finite sample size.

Lubomir M. Hadjiiski, R. F. Wagner, N. Petrick, 2000, Medical physics.

Dual system approach to computer-aided detection of breast masses on mammograms.

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2006, Medical physics.

Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2014, Physics in medicine and biology.

Breast cancer detection: evaluation of a mass-detection algorithm for computer-aided diagnosis -- experience in 263 patients.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2002, Radiology.

A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis.

Lubomir M. Hadjiiski, H. Chan, B. Sahiner, 2006, Medical physics.

Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2007, Radiology.

Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis.

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2014, Medical physics.

Image quality of microcalcifications in digital breast tomosynthesis: effects of projection-view distributions.

Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, 2011, Medical physics.

Selective-diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis reconstruction.

Lubomir M. Hadjiiski, Heang-Ping Chan, Jun Wei, 2010, Medical physics.

Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.

Lubomir M. Hadjiiski, E. Kazerooni, H. Chan, 2006, Medical physics.

Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system.

Berkman Sahiner, Nicholas Petrick, Lubomir M. Hadjiiski, 2002, Medical physics.

Breast Mass Characterization Using 3‐Dimensional Automated Ultrasound as an Adjunct to Digital Breast Tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Chintana Paramagul, 2013, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2011, Medical physics.

A new automated method for the segmentation and characterization of breast masses on ultrasound images.

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 2009, Medical physics.

Computerized characterization of breast masses on three-dimensional ultrasound volumes.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2004, Medical physics.

Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation

Lubomir M. Hadjiiski, H. Chan, L. Hadjiiski, 2022, IEEE Access.

CAD Computed Tomography Lung Application

Lubomir M. Hadjiiski, H. Chan, 2013 .

Characterization of mammographic masses based on level set segmentation with new image features and patient information.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2007, Medical physics.

Computer-aided detection of breast masses: four-view strategy for screening mammography.