Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features. - Joseph Y. Lo; Jeffrey Kim; Jay A. Baker; Carey E. Floyd Jr. (Image Processing, 1996)

Self-organizing maps for analyzing mammographic findings. - Joseph Y. Lo; Carey E. Floyd Jr. (ICNN, 1997)

Application of artificial neural networks for diagnosis of breast cancer. - Joseph Y. Lo; Carey E. Floyd Jr. (CEC, 1999)

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (IJCNN, 1999)

A constraint satisfaction neural network for medical diagnosis. - Georgia D. Tourassi; Carey E. Floyd Jr.; Joseph Y. Lo (IJCNN, 1999)

Case-based reasoning as a computer aid to diagnosis. - Carey E. Floyd Jr.; Joseph Y. Lo; Georgia D. Tourassi (Image Processing, 1999)

Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis. - Walter H. Land Jr.; Timothy Masters; Joseph Y. Lo (CEC, 2000)

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. - Walker H. Land; Timothy D. Masters; Joseph Y. Lo (Image Processing, 2000)

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (Image Processing, 2000)

Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation. - Georgia D. Tourassi; Carey E. Floyd Jr.; Joseph Y. Lo (Image Processing, 2000)

Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data. - Walter H. Land Jr.; Timothy Masters; Joseph Y. Lo; Daniel W. McKee (CEC, 2001)

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification. - Walker H. Land; Timothy D. Masters; Joseph Y. Lo; Daniel W. McKee (Image Processing, 2001)

Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. - Walker H. Land; Margaret Bryden; Joseph Y. Lo; Daniel W. McKee; Frances R. Anderson (IEEE Congress on Evolutionary Computation, 2002)

Application of support vector machines to breast cancer screening using mammogram and history data. - Walker H. Land; Anab Akanda; Joseph Y. Lo; Francis Anderson; Margaret Bryden (Image Processing, 2002)

Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions. - Mia K. Markey; Joseph Y. Lo; Georgia D. Tourassi; Carey E. Floyd Jr. (Image Processing, 2002)

Perceptron error surface analysis: a case study in breast cancer diagnosis. - Mia K. Markey; Joseph Y. Lo; Rene Vargas-Voracek; Georgia D. Tourassi; Carey E. Floyd Jr. (Comput. Biol. Medicine, 2002)

Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers. - Anna O. Bilska-Wolak; Carey E. Floyd Jr.; Joseph Y. Lo (Image Processing, 2003)

Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. - Walker H. Land; Daniel W. McKee; Joseph Y. Lo; Frances R. Anderson (Image Processing, 2003)

Application of support vector machines to breast cancer screening using mammogram and clinical history data. - Walker H. Land; Daniel W. McKee; Roberto Velazquez; Lut Wong; Joseph Y. Lo; Frances R. Anderson (Image Processing, 2003)

Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists. - Joseph Y. Lo; Marios A. Gavrielides; Mia K. Markey; Jonathan L. Jesneck (Image Processing, 2003)

Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases. - Georgia D. Tourassi; Joseph Y. Lo; Mia K. Markey (Image Processing, 2003)

Self-organizing map for cluster analysis of a breast cancer database. - Mia K. Markey; Joseph Y. Lo; Georgia D. Tourassi; Carey E. Floyd Jr. (Artif. Intell. Medicine, 2003)

Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. - Walker H. Land; Daniel W. McKee; Frances R. Anderson; Joseph Y. Lo (Image Processing, 2004)

New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. - Walker H. Land; Lut Wong; Daniel W. McKee; Timothy Masters; Frances R. Anderson; Anurag Raturi; Joseph Y. Lo (Image Processing, 2004)

Issues in assessing multi-institutional performance of BI-RADS-based CAD systems. - Mia K. Markey; Joseph Y. Lo (Image Processing, 2005)

Beam Optimization for Digital Mammography - II. - Mark B. Williams; Priya Raghunathan; Anthony Seibert; Alex Kwan; Joseph Y. Lo; Ehsan Samei; Laurie Lee Fajardo; Andrew D. A. Maidment; Martin J. Yaffe; Aili Bloomquist (Digital Mammography / IWDM, 2006)

A comparison between traditional shift-and-add (SAA) and point-by-point back projection (BP) – relevance to morphology of microcalcifications for isocentric motion in Digital Breast tomosynthesis (DBT). - Ying Chen; Joseph Y. Lo; James T. Dobbins (BIBE, 2007)

Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. - Jonathan L. Jesneck; Sayan Mukherjee 001; Loren W. Nolte; Anna E. Lokshin; Jeffrey R. Marks; Joseph Y. Lo (BIBE, 2007)

Feasibility study of breast tomosynthesis CAD system. - Anna K. Jerebko; Yuan Quan; Nicolas Merlet; Eli Ratner; Swatee Singh; Joseph Y. Lo; Arun Krishnan (Computer-Aided Diagnosis, 2007)

Initial human subject results for breast bi-plane correlation imaging technique. - Robert S. Saunders; Ehsan Samei; Nariman Majdi-Nasab; Joseph Y. Lo (Computer-Aided Diagnosis, 2007)

Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. - Swatee Singh; Georgia D. Tourassi; Joseph Y. Lo (Computer-Aided Diagnosis, 2007)

Incorporation of a Laguerre-Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System. - Alan H. Baydush; David M. Catarious; Joseph Y. Lo; Carey E. Floyd Jr. (J. Digit. Imaging, 2007)

Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal. - Jessie Q. Xia; Joseph Y. Lo (BIBE, 2008)

Efficient restoration and enhancement of super-resolved X-ray images. - M. Dirk Robinson; Sina Farsiu; Joseph Y. Lo; Cynthia A. Toth (ICIP, 2008)

Multi-projection Correlation Imaging as a New Diagnostic Tool for Improved Breast Cancer Detection. - Amarpreet S. Chawla; Ehsan Samei; Joseph Y. Lo; Thomas Mertelmeier (Digital Mammography / IWDM, 2008)

Assessment of Low Energies and Slice Depth in the Quantification of Breast Tomosynthesis. - Christina M. Shafer; Ehsan Samei; Thomas Mertelmeier; Robert S. Saunders; Moustafa Zerhouni; Joseph Y. Lo (Digital Mammography / IWDM, 2008)

Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. - Swatee Singh; Georgia D. Tourassi; Joseph Y. Lo (Digital Mammography / IWDM, 2008)

Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. - Georgia D. Tourassi; Amy C. Sharma; Swatee Singh; Robert S. Saunders; Joseph Y. Lo; Ehsan Samei; Brian P. Harrawood (Digital Mammography / IWDM, 2008)

Optimized acquisition scheme for multi-projection correlation imaging of breast cancer. - Amarpreet S. Chawla; Ehsan Samei; Robert S. Saunders; Joseph Y. Lo; Swatee Singh (Computer-Aided Diagnosis, 2008)

Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. - Swatee Singh; Georgia D. Tourassi; Amarpreet S. Chawla; Robert S. Saunders; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2008)

Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT). - Ying Chen; Joseph Y. Lo; James T. Dobbins (Int. J. Funct. Informatics Pers. Medicine, 2008)

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. - Maciej A. Mazurowski; Piotr A. Habas; Jacek M. Zurada; Joseph Y. Lo; Jay A. Baker; Georgia D. Tourassi (Neural Networks, 2008)

Efficient Fourier-Wavelet Super-Resolution. - M. Dirk Robinson; Cynthia A. Toth; Joseph Y. Lo; Sina Farsiu (IEEE Trans. Image Process., 2010)

Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. - Maciej A. Mazurowski; Joseph Y. Lo; Brian P. Harrawood; Georgia D. Tourassi (J. Biomed. Informatics, 2011)

Application of a Dynamic 4D Anthropomorphic Breast Phantom in Contrast-Based Imaging System Optimization: Dual-Energy or Temporal Subtraction? - Nooshin Kiarashi; Sujata V. Ghate; Joseph Y. Lo; Loren W. Nolte; Ehsan Samei (Digital Mammography / IWDM, 2012)

Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems. - Nooshin Kiarashi; Joseph Y. Lo; Yuan Lin; Lynda C. Ikejimba; Sujata V. Ghate; Loren W. Nolte; James T. Dobbins; William Paul Segars; Ehsan Samei (IEEE Trans. Medical Imaging, 2014)

Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Image Perception, Observer Performance, and Technology Assessment, 2016)

Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Expert Syst. Appl., 2016)

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? - Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2017)

Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom. - Lynda C. Ikejimba; Jesse Salad; Katherine Kemp; Christian G. Graff; Bahaa Ghammraoui; Joseph Y. Lo; Stephen J. Glick (IWBI, 2018)

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. - Rui Hou 002; Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. - Bibo Shi; Rui Hou 002; Maciej A. Mazurowski; Lars J. Grimm; Yinhao Ren; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2018)

Anomaly detection for medical images based on a one-class classification. - Qi Wei; Yinhao Ren; Rui Hou 002; Bibo Shi; Joseph Y. Lo; Lawrence Carin (Computer-Aided Diagnosis, 2018)

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. - Matias Benitez; James Tian; Mark Kelly; Vignesh Selvakumaran; Matthew Phelan; Maciej A. Mazurowski; Joseph Y. Lo; Geoffrey D. Rubin; Ricardo Henao (Computer-Aided Diagnosis, 2019)

2.5D CNN model for detecting lung disease using weak supervision. - Yue Geng; Yinhao Ren; Rui Hou 002; Songyue Han; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. - Songyue Han; James Tian; Mark Kelly; Vignesh Selvakumaran; Ricardo Henao; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Malignant microcalcification clusters detection using unsupervised deep autoencoders. - Rui Hou 002; Yinhao Ren; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. - Dehan Kong; Yinhao Ren; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Multiview mammographic mass detection based on a single shot detection system. - Yinhao Ren; Rui Hou 002; Dehan Kong; Yue Geng; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Classification of chest CT using case-level weak supervision. - Ruixiang Tang; Fakrul Islam Tushar; Songyue Han; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Mask Embedding for Realistic High-Resolution Medical Image Synthesis. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Dehan Kong; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (6), 2019)

Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Joseph Y. Lo (CoRR, 2019)

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. - Rui Hou 002; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Attention-guided classification of abnormalities in semi-structured computed tomography reports. - Khrystyna Faryna; Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. - Yifan Peng 004; Rui Hou 002; Yinhao Ren; Lars J. Grimm; Jeffrey R. Marks; Eun-Sil Shelley Hwang; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. - Anindo Saha; Fakrul Islam Tushar; Khrystyna Faryna; Vincent M. D'Anniballe; Rui Hou 002; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2020)

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. - Fakrul Islam Tushar; Vincent M. D'Anniballe; Rui Hou 002; Maciej A. Mazurowski; Wanyi Fu; Ehsan Samei; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2020)

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. - Mateusz Buda; Ashirbani Saha; Ruth Walsh; Sujata V. Ghate; Nianyi Li; Albert Swiecicki; Joseph Y. Lo; Maciej A. Mazurowski (CoRR, 2020)

Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. - Rui Hou 002; Maciej A. Mazurowski; Lars J. Grimm; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (IEEE Trans. Biomed. Eng., 2020)

Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. - Yinhao Ren; Jiafeng Lu; Zisheng Liang; Lars J. Grimm; Connie E. Kim; Michael Taylor-Cho; Sora Yoon; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (5), 2021)

A new method to accurately identify single nucleotide variants using small FFPE breast samples. - Angelo Fortunato; Diego Mallo; Shawn M. Rupp; Lorraine M. King; Timothy Hardman; Joseph Y. Lo; Allison H. Hall; Jeffrey R. Marks; Eun-Sil Shelley Hwang; Carlo C. Maley (Briefings Bioinform., 2021)

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. - Vincent M. D'Anniballe; Fakrul Islam Tushar; Khrystyna Faryna; Songyue Han; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2021)

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (CoRR, 2021)

Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (CoRR, 2021)

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. - Rachel Lea Draelos; David Dov; Maciej A. Mazurowski; Joseph Y. Lo; Ricardo Henao; Geoffrey D. Rubin; Lawrence Carin (Medical Image Anal., 2021)

A case-based interpretable deep learning model for classification of mass lesions in digital mammography. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (Nat. Mach. Intell., 2021)

iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry. - Wanyi Fu; Shobhit Sharma; Ehsan Abadi; Alexandros-Stavros Iliopoulos; Qi Wang; Joseph Y. Lo; Xiaobai Sun; William Paul Segars; Ehsan Samei (IEEE J. Biomed. Health Informatics, 2021)

Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. - Fakrul Islam Tushar; Ehsan Abadi; Saman Sotoudeh-Paima; Rafael B. Fricks; Maciej A. Mazurowski; William Paul Segars; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2022)

Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT. - Fakrul Islam Tushar; Vincent M. D'Anniballe; Geoffrey D. Rubin; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2022)

Interpretable deep learning models for better clinician-AI communication in clinical mammography. - Alina Jade Barnett; Vaibhav Sharma; Neel Gajjar; Jerry Fang; Fides Regina Schwartz; Chaofan Chen; Joseph Y. Lo; Cynthia Rudin (Image Perception, Observer Performance, and Technology Assessment, 2022)

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. - Fakrul Islam Tushar; Husam Nujaim; Wanyi Fu; Ehsan Abadi; Maciej A. Mazurowski; Ehsan Samei; William Paul Segars; Joseph Y. Lo (CoRR, 2022)

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. - Vincent M. D'Anniballe; Fakrul Islam Tushar; Khrystyna Faryna; Songyue Han; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (BMC Medical Informatics Decis. Mak., 2022)

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. - Rui Hou 002; Yifan Peng 004; Lars J. Grimm; Yinhao Ren; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; Eun-Sil Shelley Hwang; Joseph Y. Lo (IEEE Trans. Biomed. Eng., 2022)

Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". - Wanyi Fu; Shobhit Sharma; Ehsan Abadi; Alexandros-Stavros Iliopoulos; Qi Wang; Joseph Y. Lo; Xiaobai Sun; William Paul Segars; Ehsan Samei (IEEE J. Biomed. Health Informatics, 2022)

Multi-view DBT grid-attention detection framework. - Xuan Liu; Yinhao Ren; Zisheng Liang; Lars J. Grimm; Jun Ge; Joseph Y. Lo (Computer-Aided Diagnosis, 2023)

A user interface to communicate interpretable AI decisions to radiologists. - Yanchen Jessie Ou; Alina Jade Barnett; Anika Mitra; Fides Regina Schwartz; Chaofan Chen; Lars J. Grimm; Joseph Y. Lo; Cynthia Rudin (Image Perception, Observer Performance, and Technology Assessment, 2023)

A user interface to communicate interpretable AI decisions to radiologists (Erratum). - Yanchen Ou; Alina Jade Barnett; Anika Mitra; Fides Regina Schwartz; Chaofan Chen; Lars J. Grimm; Joseph Y. Lo; Cynthia Rudin (Image Perception, Observer Performance, and Technology Assessment, 2023)

Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19. - Fakrul Islam Tushar; Lavsen Dahal; Saman Sotoudeh-Paima; Ehsan Abadi; William Paul Segars; Ehsan Samei; Joseph Y. Lo (CoRR, 2023)

Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation. - Kaouther Mouheb; Mobina Ghojogh Nejad; Lavsen Dahal; Ehsan Samei; William Paul Segars; Joseph Y. Lo (CoRR, 2023)

Ipsilateral Lesion Detection Refinement for Tomosynthesis. - Yinhao Ren; Xuan Liu; Jun Ge; Zisheng Liang; Xiaoming Xu; Lars J. Grimm; Jonathan Go; Jeffrey R. Marks; Joseph Y. Lo (IEEE Trans. Medical Imaging, 2023)

FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. - Julia Yang; Alina Jade Barnett; Jon Donnelly; Satvik Kishore; Jerry Fang; Fides Regina Schwartz; Chaofan Chen; Joseph Y. Lo; Cynthia Rudin (CVPR Workshops, 2024)

What limits performance of weakly supervised deep learning for chest CT classification? - Fakrul Islam Tushar; Vincent M. D'Anniballe; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2024)

AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. - Fakrul Islam Tushar; Avivah Wang; Lavsen Dahal; Michael R. Harowicz; Kyle J. Lafata; Tina D. Tailor; Joseph Y. Lo (CoRR, 2024)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; Joseph Y. Lo; et al. (CoRR, 2024)

Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. - Yuqi Wang; Aarzu Gupta; Fakrul Islam Tushar; Breylon Riley; Avivah Wang; Tina D. Tailor; Stacy L. Tantum; Jian-Guo Liu; Mustafa R. Bashir; Joseph Y. Lo; Kyle J. Lafata (Artif. Intell. Medicine, 2025)

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Liesbeth Vancoillie; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; et al. (Medical Image Anal., 2025)

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. - Fakrul Islam Tushar; Liesbeth Vancoillie; Cindy McCabe; Amareswararao Kavuri; Lavsen Dahal; Brian P. Harrawood; Milo Fryling; Mojtaba Zarei; Saman Sotoudeh-Paima; Fong Chi Ho; Dhrubajyoti Ghosh; Michael R. Harowicz; et al. (Medical Image Anal., 2025)

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. - Fakrul Islam Tushar; Lavsen Dahal; Cindy McCabe; Fong Chi Ho; Paul Segars; Ehsan Abadi; Kyle J. Lafata; Ehsan Samei; Joseph Y. Lo (CoRR, 2025)

Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. - Michael E. Garcia-Alcoser; Mobina Ghojogh Nejad; Fakrul Islam Tushar; David Kim; Kyle J. Lafata; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2025)

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. - Payel Bhattacharjee; Fengwei Tian; Ravi Tandon; Joseph Y. Lo; Heidi A. Hanson; Geoffrey Rubin; Nirav Merchant; John Gounley (CoRR, 2025)

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms. - Xuan Liu; Yinhao Ren; Marc D. Ryser; Lars J. Grimm; Joseph Y. Lo (CoRR, 2025)