L. Hadjiiski

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

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

Berkman Sahiner, Lubomir M. Hadjiiski, Chuan Zhou, 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 detection of masses in digital tomosynthesis mammography: comparison of three approaches.

Berkman Sahiner, Heang-Ping Chan, Jun Wei, 2008, 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.

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

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

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

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

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: bilateral analysis for false positive reduction

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

Computer-aided detection of breast masses on full field digital mammograms.

Berkman Sahiner, Nicholas Petrick, Chuan Zhou, 2005, Medical physics.

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.

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.

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.

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.

A pictorial review of bladder cancer nodal metastases

Lubomir M. Hadjiiski, Prasad R. Shankar, L. Hadjiiski, 2018, Translational andrology and urology.

Quantitative Imaging Network: 12 Years of Accomplishments

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

Urinary bladder cancer staging in CT urography using machine learning

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

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

Kenny H. Cha, Krzysztof J. Geras, Md Belayat Hossain, 2023, JAMA network open.

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.

Treatment Response Assessment for Bladder Cancer on CT Based on Computerized Volume Analysis, World Health Organization Criteria, and RECIST.

Heang-Ping Chan, Kenny H. Cha, Lubomir Hadjiiski, 2015, AJR. American journal of roentgenology.

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.

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.

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.

Automatic staging of bladder cancer on CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, 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.

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.

Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms

Berkman Sahiner, Chuan Zhou, Heang-Ping Chan, 2007, Physics in medicine and biology.

Computer aided detection of clusters of microcalcifications on full field digital mammograms.

Berkman Sahiner, Chuan Zhou, Heang-Ping Chan, 2006, Medical physics.

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

Deep Learning in Medical Image Analysis.

Chuan Zhou, Ravi K. Samala, Heang-Ping Chan, 2017, Advances in experimental medicine and biology.

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.

Computer‐aided detection of retained surgical needles from postoperative radiographs

Heang-Ping Chan, Kenny H. Cha, Lubomir Hadjiiski, 2017, Medical physics.

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

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

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.

Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis.

Chuan Zhou, Heang-Ping Chan, Ravi K. Samala, 2014, Medical physics.

Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial.

Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, 2004, Radiology.

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.

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning

Ravi K. Samala, Kenny H. Cha, H. Chan, 2023, Medical Imaging.

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

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

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.

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.

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.

Synthesizing mammogram from digital breast tomosynthesis

Chuan Zhou, Heang-Ping Chan, Jun Wei, 2019, Physics in medicine and biology.

Characterization of Breast Masses in Digital Breast Tomosynthesis and Digital Mammograms: An Observer Performance Study.

Heang-Ping Chan, Chintana Paramagul, Mark A Helvie, 2017, Academic radiology.

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.

Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis

Heang-Ping Chan, Ravi K. Samala, Lubomir M Hadjiiski, 2016, Physics in medicine and biology.

Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images

Heang-Ping Chan, Ravi K. Samala, Jun Wei, 2015, Physics in medicine and biology.

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.

Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.

Lubomir M. Hadjiiski, H. Chan, M. Helvie, 2023, Medical physics.

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

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

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 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.

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.

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.

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.

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.

Computerized image analysis: estimation of breast density on mammograms

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

Deep Learning in Medical Image Analysis.

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

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.