Joseph Y. Lo - RankMe

116 papers B 23C 3Journal 48Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. IEEE Access Payel Bhattacharjee, Fengwei Tian, Geoffrey D. Rubin, Joseph Y. Lo, Nirav C. Merchant, Heidi A. Hanson, John Gounley, Ravi Tandon
2026	J	`jnl`	Organ-Aware Attention Improves CT Triage and Classification. CoRR Lavsen Dahal, Yubraj Bhandari, Geoffrey D. Rubin, Joseph Y. Lo
2026	—	`conf`	STAMP: Selective Task-Aware Mechanism for Text Privacy. EACL (Volume 1: Long Papers) Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2026	J	`jnl`	STAMP: Selective Task-Aware Mechanism for Text Privacy. CoRR Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2026	J	`jnl`	Tri-Reader: An Open-Access, Multi-Stage AI Pipeline for First-Pass Lung Nodule Annotation in Screening CT. CoRR Fakrul Islam Tushar, Joseph Y. Lo
2025	J	`jnl`	Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. Artif. Intell. Medicine 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
2025	J	`jnl`	Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. CoRR Michael E. Garcia-Alcoser, Mobina Ghojogh Nejad, Fakrul Islam Tushar, David Kim, Kyle J. Lafata, Geoffrey D. Rubin, Joseph Y. Lo
2025	—	`conf`	Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models. ShapeMI@MICCAI Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, Kyle J. Lafata, William Paul Segars, Joseph Y. Lo
2025	J	`jnl`	Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. CoRR Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey D. Rubin, Nirav C. Merchant, John Gounley
2025	—	`conf`	MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms. MICCAI (4) Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2025	J	`jnl`	MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms. CoRR Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2025	J	`jnl`	NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging. CoRR Fakrul Islam Tushar, Ehsan Samei, Cynthia Rudin, Joseph Y. Lo
2025	J	`jnl`	SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. CoRR Fakrul Islam Tushar, Lavsen Dahal, Cindy McCabe, Fong Chi Ho, Paul Segars, Ehsan Abadi, Kyle J. Lafata, Ehsan Samei, Joseph Y. Lo
2025	J	`jnl`	Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. Medical Image Anal. 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, Tina D. Tailor, Sheng Luo, William Paul Segars, Ehsan Abadi, Kyle J. Lafata, Joseph Y. Lo, Ehsan Samei
2025	J	`jnl`	XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. Medical Image Anal. Lavsen Dahal, Mobina Ghojogh Nejad, Liesbeth Vancoillie, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luo, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars
2024	J	`jnl`	A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel Text. J. Imaging Inform. Medicine Jacob A. Macdonald, Katelyn R. Morgan, Brandon Konkel, Kulsoom Abdullah, Mark Martin, Cory Ennis, Joseph Y. Lo, Marissa Stroo, Denise Snyder, Mustafa R. Bashir
2024	J	`jnl`	AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. CoRR Fakrul Islam Tushar, Avivah Wang, Lavsen Dahal, Michael R. Harowicz, Kyle J. Lafata, Tina D. Tailor, Joseph Y. Lo
2024	—	`conf`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CVPR Workshops Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2024	J	`jnl`	What limits performance of weakly supervised deep learning for chest CT classification? CoRR Fakrul Islam Tushar, Vincent M. D'Anniballe, Geoffrey D. Rubin, Joseph Y. Lo
2024	J	`jnl`	XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. CoRR Lavsen Dahal, Mobina Ghojogh Nejad, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luo, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists (Erratum). Image Perception, Observer Performance, and Technology Assessment Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	—	`conf`	A user interface to communicate interpretable AI decisions to radiologists. Image Perception, Observer Performance, and Technology Assessment Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023	J	`jnl`	Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19. CoRR Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, Ehsan Abadi, William Paul Segars, Ehsan Samei, Joseph Y. Lo
2023	J	`jnl`	Ipsilateral Lesion Detection Refinement for Tomosynthesis. IEEE Trans. Medical Imaging Yinhao Ren, Xuan Liu, Jun Ge, Zisheng Liang, Xiaoming Xu, Lars J. Grimm, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo
2023	J	`jnl`	Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation. CoRR Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, William Paul Segars, Joseph Y. Lo
2023	—	`conf`	Multi-view DBT grid-attention detection framework. Computer-Aided Diagnosis Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo
2022	J	`jnl`	Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. Rui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2022	—	`conf`	Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT. Computer-Aided Diagnosis Fakrul Islam Tushar, Vincent M. D'Anniballe, Geoffrey D. Rubin, Ehsan Samei, Joseph Y. Lo
2022	J	`jnl`	Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". IEEE J. Biomed. Health Informatics Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei
2022	—	`conf`	Interpretable deep learning models for better clinician-AI communication in clinical mammography. Image Perception, Observer Performance, and Technology Assessment Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
2022	J	`jnl`	Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. BMC Medical Informatics Decis. Mak. Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2022	J	`jnl`	Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. CoRR Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei, William Paul Segars, Joseph Y. Lo
2022	J	`jnl`	Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography. CoRR Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo
2022	—	`conf`	Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. Computer-Aided Diagnosis Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo
2021	J	`jnl`	A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	A new method to accurately identify single nucleotide variants using small FFPE breast samples. Briefings Bioinform. 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
2021	J	`jnl`	IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021	J	`jnl`	Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2021	J	`jnl`	Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. CoRR Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2021	—	`conf`	Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. MICCAI (5) Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo
2021	J	`jnl`	iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry. IEEE J. Biomed. Health Informatics Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei
2020	—	`conf`	A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. Computer-Aided Diagnosis Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020	—	`conf`	Attention-guided classification of abnormalities in semi-structured computed tomography reports. Computer-Aided Diagnosis Khrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo
2020	J	`jnl`	Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. CoRR Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski
2020	J	`jnl`	Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2020	—	`conf`	Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. Computer-Aided Diagnosis Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020	J	`jnl`	Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. IEEE Trans. Biomed. Eng. Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020	J	`jnl`	Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2020	J	`jnl`	Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. CoRR Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo
2020	—	`conf`	Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Computer-Aided Diagnosis Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2020	J	`jnl`	iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry. CoRR Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei
2019	—	`conf`	2.5D CNN model for detecting lung disease using weak supervision. Computer-Aided Diagnosis Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin, Joseph Y. Lo
2019	—	`conf`	Classification of chest CT using case-level weak supervision. Computer-Aided Diagnosis Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo
2019	—	`conf`	Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. Computer-Aided Diagnosis Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran, Ricardo Henao, Geoffrey D. Rubin, Joseph Y. Lo
2019	—	`conf`	Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Computer-Aided Diagnosis Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao
2019	—	`conf`	Malignant microcalcification clusters detection using unsupervised deep autoencoders. Computer-Aided Diagnosis Rui Hou, Yinhao Ren, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019	—	`conf`	Mask Embedding for Realistic High-Resolution Medical Image Synthesis. MICCAI (6) Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019	J	`jnl`	Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. CoRR Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo
2019	—	`conf`	Multiview mammographic mass detection based on a single shot detection system. Computer-Aided Diagnosis Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019	—	`conf`	Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. Computer-Aided Diagnosis Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2018	—	`conf`	Anomaly detection for medical images based on a one-class classification. Computer-Aided Diagnosis Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
2018	—	`conf`	Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Computer-Aided Diagnosis Rui Hou, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2018	—	`conf`	Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Computer-Aided Diagnosis Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2018	—	`conf`	Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom. IWBI Lynda C. Ikejimba, Jesse Salad, Katherine Kemp, Christian G. Graff, Bahaa Ghammraoui, Joseph Y. Lo, Stephen J. Glick
2017	—	`conf`	Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Computer-Aided Diagnosis Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017	—	`conf`	Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Computer-Aided Diagnosis Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2016	—	`conf`	Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. Image Perception, Observer Performance, and Technology Assessment Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2016	J	`jnl`	Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. Expert Syst. Appl. Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2014	J	`jnl`	Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems. IEEE Trans. Medical Imaging Nooshin Kiarashi, Joseph Y. Lo, Yuan Lin, Lynda C. Ikejimba, Sujata V. Ghate, Loren W. Nolte, James T. Dobbins, William Paul Segars, Ehsan Samei
2012	—	`conf`	Application of a Dynamic 4D Anthropomorphic Breast Phantom in Contrast-Based Imaging System Optimization: Dual-Energy or Temporal Subtraction? Digital Mammography / IWDM Nooshin Kiarashi, Sujata V. Ghate, Joseph Y. Lo, Loren W. Nolte, Ehsan Samei
2011	J	`jnl`	Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. J. Biomed. Informatics Maciej A. Mazurowski, Joseph Y. Lo, Brian P. Harrawood, Georgia D. Tourassi
2010	J	`jnl`	Efficient Fourier-Wavelet Super-Resolution. IEEE Trans. Image Process. M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, Sina Farsiu
2008	—	`conf`	Assessment of Low Energies and Slice Depth in the Quantification of Breast Tomosynthesis. Digital Mammography / IWDM Christina M. Shafer, Ehsan Samei, Thomas Mertelmeier, Robert S. Saunders, Moustafa Zerhouni, Joseph Y. Lo
2008	—	`conf`	Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. Computer-Aided Diagnosis Swatee Singh, Georgia D. Tourassi, Amarpreet S. Chawla, Robert S. Saunders, Ehsan Samei, Joseph Y. Lo
2008	—	`conf`	Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. Digital Mammography / IWDM Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
2008	B	`conf`	Efficient restoration and enhancement of super-resolved X-ray images. ICIP M. Dirk Robinson, Sina Farsiu, Joseph Y. Lo, Cynthia A. Toth
2008	J	`jnl`	Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT). Int. J. Funct. Informatics Pers. Medicine Ying Chen, Joseph Y. Lo, James T. Dobbins
2008	—	`conf`	Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. Digital Mammography / IWDM Georgia D. Tourassi, Amy C. Sharma, Swatee Singh, Robert S. Saunders, Joseph Y. Lo, Ehsan Samei, Brian P. Harrawood
2008	C	`conf`	Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal. BIBE Jessie Q. Xia, Joseph Y. Lo
2008	—	`conf`	Multi-projection Correlation Imaging as a New Diagnostic Tool for Improved Breast Cancer Detection. Digital Mammography / IWDM Amarpreet S. Chawla, Ehsan Samei, Joseph Y. Lo, Thomas Mertelmeier
2008	—	`conf`	Optimized acquisition scheme for multi-projection correlation imaging of breast cancer. Computer-Aided Diagnosis Amarpreet S. Chawla, Ehsan Samei, Robert S. Saunders, Joseph Y. Lo, Swatee Singh
2008	J	`jnl`	Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi
2007	C	`conf`	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). BIBE Ying Chen, Joseph Y. Lo, James T. Dobbins
2007	—	`conf`	Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. Computer-Aided Diagnosis Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
2007	C	`conf`	Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. BIBE Jonathan L. Jesneck, Sayan Mukherjee, Loren W. Nolte, Anna E. Lokshin, Jeffrey R. Marks, Joseph Y. Lo
2007	—	`conf`	Feasibility study of breast tomosynthesis CAD system. Computer-Aided Diagnosis Anna K. Jerebko, Yuan Quan, Nicolas Merlet, Eli Ratner, Swatee Singh, Joseph Y. Lo, Arun Krishnan
2007	J	`jnl`	Incorporation of a Laguerre-Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System. J. Digit. Imaging Alan H. Baydush, David M. Catarious, Joseph Y. Lo, Carey E. Floyd Jr.
2007	—	`conf`	Initial human subject results for breast bi-plane correlation imaging technique. Computer-Aided Diagnosis Robert S. Saunders, Ehsan Samei, Nariman Majdi-Nasab, Joseph Y. Lo
2006	—	`conf`	Beam Optimization for Digital Mammography - II. Digital Mammography / IWDM 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
2005	B	`conf`	Issues in assessing multi-institutional performance of BI-RADS-based CAD systems. Image Processing Mia K. Markey, Joseph Y. Lo
2004	B	`conf`	Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Image Processing Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo
2004	B	`conf`	New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. Image Processing Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo
2003	B	`conf`	Application of support vector machines to breast cancer screening using mammogram and clinical history data. Image Processing Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson
2003	B	`conf`	Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists. Image Processing Joseph Y. Lo, Marios A. Gavrielides, Mia K. Markey, Jonathan L. Jesneck
2003	B	`conf`	Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. Image Processing Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson
2003	B	`conf`	Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers. Image Processing Anna O. Bilska-Wolak, Carey E. Floyd Jr., Joseph Y. Lo
2003	J	`jnl`	Self-organizing map for cluster analysis of a breast cancer database. Artif. Intell. Medicine Mia K. Markey, Joseph Y. Lo, Georgia D. Tourassi, Carey E. Floyd Jr.
2003	B	`conf`	Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases. Image Processing Georgia D. Tourassi, Joseph Y. Lo, Mia K. Markey
2002	B	`conf`	Application of support vector machines to breast cancer screening using mammogram and history data. Image Processing Walker H. Land, Anab Akanda, Joseph Y. Lo, Francis Anderson, Margaret Bryden
2002	B	`conf`	Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions. Image Processing Mia K. Markey, Joseph Y. Lo, Georgia D. Tourassi, Carey E. Floyd Jr.
2002	J	`jnl`	Perceptron error surface analysis: a case study in breast cancer diagnosis. Comput. Biol. Medicine Mia K. Markey, Joseph Y. Lo, Rene Vargas-Voracek, Georgia D. Tourassi, Carey E. Floyd Jr.
2002	B	`conf`	Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. IEEE Congress on Evolutionary Computation Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson
2001	B	`conf`	Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification. Image Processing Walker H. Land, Timothy D. Masters, Joseph Y. Lo, Daniel W. McKee
2001	B	`conf`	Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data. CEC Walter H. Land Jr., Timothy Masters, Joseph Y. Lo, Daniel W. McKee
2000	B	`conf`	Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. Image Processing Walker H. Land, Timothy D. Masters, Joseph Y. Lo
2000	B	`conf`	Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis. CEC Walter H. Land Jr., Timothy Masters, Joseph Y. Lo
2000	B	`conf`	Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. Image Processing Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
2000	B	`conf`	Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation. Image Processing Georgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo
1999	B	`conf`	A constraint satisfaction neural network for medical diagnosis. IJCNN Georgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo
1999	B	`conf`	Application of artificial neural networks for diagnosis of breast cancer. CEC Joseph Y. Lo, Carey E. Floyd Jr.
1999	B	`conf`	Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. IJCNN Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
1999	B	`conf`	Case-based reasoning as a computer aid to diagnosis. Image Processing Carey E. Floyd Jr., Joseph Y. Lo, Georgia D. Tourassi
1997	—	`conf`	Self-organizing maps for analyzing mammographic findings. ICNN Joseph Y. Lo, Carey E. Floyd Jr.
1996	B	`conf`	Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features. Image Processing Joseph Y. Lo, Jeffrey Kim, Jay A. Baker, Carey E. Floyd Jr.