Joseph Y. Lo

Affiliations:
  • Duke University, Durham, NC, USA


According to our database1, Joseph Y. Lo authored at least 80 papers between 1996 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry".
IEEE J. Biomed. Health Informatics, 2022

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.
IEEE Trans. Biomed. Eng., 2022

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
BMC Medical Informatics Decis. Mak., 2022

Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography.
CoRR, 2022

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT.
CoRR, 2022

2021
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry.
IEEE J. Biomed. Health Informatics, 2021

A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell., 2021

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.
Medical Image Anal., 2021

Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR, 2021

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR, 2021

Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning.
CoRR, 2021

A new method to accurately identify single nucleotide variants using small FFPE breast samples.
Briefings Bioinform., 2021

Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
IEEE Trans. Biomed. Eng., 2020

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model.
CoRR, 2020

Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features.
CoRR, 2020

Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.
CoRR, 2020

2019
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images.
CoRR, 2019

Mask Embedding for Realistic High-Resolution Medical Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Classification of chest CT using case-level weak supervision.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Multiview mammographic mass detection based on a single shot detection system.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2.5D CNN model for detecting lung disease using weak supervision.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Anomaly detection for medical images based on a one-class classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach.
Expert Syst. Appl., 2016

Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2014
Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems.
IEEE Trans. Medical Imaging, 2014

2012
Application of a Dynamic 4D Anthropomorphic Breast Phantom in Contrast-Based Imaging System Optimization: Dual-Energy or Temporal Subtraction?
Proceedings of the Breast Imaging, 2012

2011
Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis.
J. Biomed. Informatics, 2011

2010
Efficient Fourier-Wavelet Super-Resolution.
IEEE Trans. Image Process., 2010

2008
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Neural Networks, 2008

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, 2008

Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Optimized acquisition scheme for multi-projection correlation imaging of breast cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection.
Proceedings of the Digital Mammography, 2008

Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis.
Proceedings of the Digital Mammography, 2008

Assessment of Low Energies and Slice Depth in the Quantification of Breast Tomosynthesis.
Proceedings of the Digital Mammography, 2008

Multi-projection Correlation Imaging as a New Diagnostic Tool for Improved Breast Cancer Detection.
Proceedings of the Digital Mammography, 2008

Efficient restoration and enhancement of super-resolved X-ray images.
Proceedings of the International Conference on Image Processing, 2008

Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Incorporation of a Laguerre-Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System.
J. Digit. Imaging, 2007

Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Initial human subject results for breast bi-plane correlation imaging technique.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Feasibility study of breast tomosynthesis CAD system.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

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).
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Beam Optimization for Digital Mammography - II.
Proceedings of the Digital Mammography, 2006

2005
Issues in assessing multi-institutional performance of BI-RADS-based CAD systems.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
Self-organizing map for cluster analysis of a breast cancer database.
Artif. Intell. Medicine, 2003

Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Application of support vector machines to breast cancer screening using mammogram and clinical history data.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Perceptron error surface analysis: a case study in breast cancer diagnosis.
Comput. Biol. Medicine, 2002

Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Application of support vector machines to breast cancer screening using mammogram and history data.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Case-based reasoning as a computer aid to diagnosis.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

A constraint satisfaction neural network for medical diagnosis.
Proceedings of the International Joint Conference Neural Networks, 1999

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis.
Proceedings of the International Joint Conference Neural Networks, 1999

Application of artificial neural networks for diagnosis of breast cancer.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
Self-organizing maps for analyzing mammographic findings.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features.
Proceedings of the Medical Imaging 1996: Image Processing, 1996


  Loading...