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Joseph Y. Lo
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- affiliation: Duke University, Durham, NC, USA
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Journal Articles
- 2023
- [j18]Yinhao Ren
, Xuan Liu, Jun Ge, Zisheng Liang
, Xiaoming Xu
, Lars J. Grimm
, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo
:
Ipsilateral Lesion Detection Refinement for Tomosynthesis. IEEE Trans. Medical Imaging 42(10): 3080-3090 (2023) - 2022
- [j17]Vincent M. D'Anniballe
, Fakrul Islam Tushar
, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin
, Joseph Y. Lo:
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. BMC Medical Informatics Decis. Mak. 22(1): 102 (2022) - [j16]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:
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. 69(5): 1639-1650 (2022) - [j15]Wanyi Fu
, Shobhit Sharma, Ehsan Abadi
, Alexandros-Stavros Iliopoulos
, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars
, Ehsan Samei
:
Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". IEEE J. Biomed. Health Informatics 26(1): 478 (2022) - 2021
- [j14]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:
A new method to accurately identify single nucleotide variants using small FFPE breast samples. Briefings Bioinform. 22(6) (2021) - [j13]Rachel Lea Draelos
, David Dov, Maciej A. Mazurowski, Joseph Y. Lo
, Ricardo Henao, Geoffrey D. Rubin
, Lawrence Carin:
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 67: 101857 (2021) - [j12]Alina Jade Barnett
, Fides Regina Schwartz
, Chaofan Tao, Chaofan Chen
, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
:
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3(12): 1061-1070 (2021) - [j11]Wanyi Fu
, Shobhit Sharma, Ehsan Abadi
, Alexandros-Stavros Iliopoulos
, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars
, Ehsan Samei
:
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry. IEEE J. Biomed. Health Informatics 25(8): 3061-3072 (2021) - 2020
- [j10]Rui Hou
, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. IEEE Trans. Biomed. Eng. 67(6): 1565-1572 (2020) - 2016
- [j9]Mengyu Wang, Jing Zhang, Lars J. Grimm
, Sujata V. Ghate, Ruth Walsh
, Karen S. Johnson, Joseph Y. Lo
, Maciej A. Mazurowski:
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. Expert Syst. Appl. 56: 1-8 (2016) - 2014
- [j8]Nooshin Kiarashi, Joseph Y. Lo, Yuan Lin, Lynda C. Ikejimba, Sujata V. Ghate, Loren W. Nolte, James T. Dobbins, William Paul Segars, Ehsan Samei
:
Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems. IEEE Trans. Medical Imaging 33(7): 1401-1409 (2014) - 2011
- [j7]Maciej A. Mazurowski, Joseph Y. Lo
, Brian P. Harrawood, Georgia D. Tourassi
:
Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. J. Biomed. Informatics 44(5): 815-823 (2011) - 2010
- [j6]M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo
, Sina Farsiu
:
Efficient Fourier-Wavelet Super-Resolution. IEEE Trans. Image Process. 19(10): 2669-2681 (2010) - 2008
- [j5]Ying Chen, Joseph Y. Lo, James T. Dobbins:
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 1(2): 189-204 (2008) - [j4]Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo
, Jay A. Baker, Georgia D. Tourassi
:
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks 21(2-3): 427-436 (2008) - 2007
- [j3]Alan H. Baydush, David M. Catarious
, Joseph Y. Lo
, Carey E. Floyd Jr.:
Incorporation of a Laguerre-Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System. J. Digit. Imaging 20(2): 196-202 (2007) - 2003
- [j2]Mia K. Markey
, Joseph Y. Lo
, Georgia D. Tourassi
, Carey E. Floyd Jr.:
Self-organizing map for cluster analysis of a breast cancer database. Artif. Intell. Medicine 27(2): 113-127 (2003) - 2002
- [j1]Mia K. Markey
, Joseph Y. Lo
, Rene Vargas-Voracek, Georgia D. Tourassi
, Carey E. Floyd Jr.:
Perceptron error surface analysis: a case study in breast cancer diagnosis. Comput. Biol. Medicine 32(2): 99-109 (2002)
Conference and Workshop Papers
- 2023
- [c64]Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo:
Multi-view DBT grid-attention detection framework. Medical Imaging: Computer-Aided Diagnosis 2023 - [c63]Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz
, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin:
A user interface to communicate interpretable AI decisions to radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c62]Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin:
A user interface to communicate interpretable AI decisions to radiologists (Erratum). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [c61]Fakrul Islam Tushar
, Ehsan Abadi, Saman Sotoudeh-Paima
, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei
, Joseph Y. Lo:
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. Medical Imaging: Computer-Aided Diagnosis 2022 - [c60]Fakrul Islam Tushar
, Vincent M. D'Anniballe
, Geoffrey D. Rubin
, Ehsan Samei
, Joseph Y. Lo:
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT. Medical Imaging: Computer-Aided Diagnosis 2022 - [c59]Alina Jade Barnett, Vaibhav Sharma, Neel Gajjar, Jerry Fang, Fides Regina Schwartz
, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin:
Interpretable deep learning models for better clinician-AI communication in clinical mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [c58]Yinhao Ren, Jiafeng Lu, Zisheng Liang
, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo:
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. MICCAI (5) 2021: 345-354 - 2020
- [c57]Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c56]Khrystyna Faryna, Fakrul Islam Tushar
, Vincent M. D'Anniballe
, Rui Hou, Geoffrey D. Rubin
, Joseph Y. Lo:
Attention-guided classification of abnormalities in semi-structured computed tomography reports. Medical Imaging: Computer-Aided Diagnosis 2020 - [c55]Yifan Peng
, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index. Medical Imaging: Computer-Aided Diagnosis 2020 - [c54]Anindo Saha
, Fakrul Islam Tushar
, Khrystyna Faryna, Vincent M. D'Anniballe
, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin
, Joseph Y. Lo:
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Medical Imaging: Computer-Aided Diagnosis 2020 - 2019
- [c53]Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran
, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin
, Ricardo Henao
:
Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Medical Imaging: Computer-Aided Diagnosis 2019: 109500V - [c52]Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Multiview mammographic mass detection based on a single shot detection system. Medical Imaging: Computer-Aided Diagnosis 2019: 109500E - [c51]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:
Malignant microcalcification clusters detection using unsupervised deep autoencoders. Medical Imaging: Computer-Aided Diagnosis 2019: 109502Q - [c50]Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. Medical Imaging: Computer-Aided Diagnosis 2019: 109502M - [c49]Yue Geng, Yinhao Ren, Rui Hou, Songyue Han, Geoffrey D. Rubin
, Joseph Y. Lo:
2.5D CNN model for detecting lung disease using weak supervision. Medical Imaging: Computer-Aided Diagnosis 2019: 109503O - [c48]Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran
, Ricardo Henao
, Geoffrey D. Rubin
, Joseph Y. Lo:
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. Medical Imaging: Computer-Aided Diagnosis 2019: 109504H - [c47]Ruixiang Tang, Fakrul Islam Tushar
, Songyue Han, Rui Hou, Geoffrey D. Rubin
, Joseph Y. Lo:
Classification of chest CT using case-level weak supervision. Medical Imaging: Computer-Aided Diagnosis 2019: 1095017 - [c46]Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Mask Embedding for Realistic High-Resolution Medical Image Synthesis. MICCAI (6) 2019: 422-430 - 2018
- [c45]Lynda C. Ikejimba, Jesse Salad, Katherine Kemp, Christian G. Graff
, Bahaa Ghammraoui, Joseph Y. Lo, Stephen J. Glick:
Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom. IWBI 2018: 107180Q - [c44]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:
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Medical Imaging: Computer-Aided Diagnosis 2018: 105750R - [c43]Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y. Lo, Lawrence Carin
:
Anomaly detection for medical images based on a one-class classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105751M - [c42]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:
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Medical Imaging: Computer-Aided Diagnosis 2018: 105752R - 2017
- [c41]Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Medical Imaging: Computer-Aided Diagnosis 2017: 101341I - [c40]Bibo Shi, Lars J. Grimm
, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Medical Imaging: Computer-Aided Diagnosis 2017: 101342X - 2016
- [c39]Mengyu Wang, Jing Zhang, Lars J. Grimm
, Sujata V. Ghate, Ruth Walsh
, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski:
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978709 - 2012
- [c38]Nooshin Kiarashi, Sujata V. Ghate, Joseph Y. Lo
, Loren W. Nolte, Ehsan Samei
:
Application of a Dynamic 4D Anthropomorphic Breast Phantom in Contrast-Based Imaging System Optimization: Dual-Energy or Temporal Subtraction? Digital Mammography / IWDM 2012: 658-665 - 2008
- [c37]Jessie Q. Xia, Joseph Y. Lo
:
Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal. BIBE 2008: 1-6 - [c36]M. Dirk Robinson, Sina Farsiu
, Joseph Y. Lo
, Cynthia A. Toth:
Efficient restoration and enhancement of super-resolved X-ray images. ICIP 2008: 629-632 - [c35]Swatee Singh, Georgia D. Tourassi
, Joseph Y. Lo
:
Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. Digital Mammography / IWDM 2008: 286-291 - [c34]Georgia D. Tourassi
, Amy C. Sharma, Swatee Singh, Robert S. Saunders, Joseph Y. Lo
, Ehsan Samei
, Brian P. Harrawood:
Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. Digital Mammography / IWDM 2008: 292-298 - [c33]Christina M. Shafer, Ehsan Samei
, Thomas Mertelmeier, Robert S. Saunders, Moustafa Zerhouni, Joseph Y. Lo
:
Assessment of Low Energies and Slice Depth in the Quantification of Breast Tomosynthesis. Digital Mammography / IWDM 2008: 530-536 - [c32]Amarpreet S. Chawla, Ehsan Samei
, Joseph Y. Lo
, Thomas Mertelmeier:
Multi-projection Correlation Imaging as a New Diagnostic Tool for Improved Breast Cancer Detection. Digital Mammography / IWDM 2008: 635-642 - [c31]Swatee Singh, Georgia D. Tourassi
, Amarpreet S. Chawla, Robert S. Saunders, Ehsan Samei
, Joseph Y. Lo
:
Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. Medical Imaging: Computer-Aided Diagnosis 2008: 691505 - [c30]Amarpreet S. Chawla, Ehsan Samei
, Robert S. Saunders, Joseph Y. Lo
, Swatee Singh:
Optimized acquisition scheme for multi-projection correlation imaging of breast cancer. Medical Imaging: Computer-Aided Diagnosis 2008: 691528 - 2007
- [c29]Ying Chen, Joseph Y. Lo
, James T. Dobbins:
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 2007: 563-569 - [c28]Jonathan L. Jesneck, Sayan Mukherjee
, Loren W. Nolte, Anna E. Lokshin, Jeffrey R. Marks, Joseph Y. Lo
:
Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. BIBE 2007: 1434-1438 - [c27]Anna K. Jerebko, Yuan Quan, Nicolas Merlet, Eli Ratner, Swatee Singh, Joseph Y. Lo
, Arun Krishnan:
Feasibility study of breast tomosynthesis CAD system. Medical Imaging: Computer-Aided Diagnosis 2007: 651414 - [c26]Swatee Singh, Georgia D. Tourassi
, Joseph Y. Lo
:
Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. Medical Imaging: Computer-Aided Diagnosis 2007: 651415 - [c25]Robert S. Saunders, Ehsan Samei
, Nariman Majdi-Nasab, Joseph Y. Lo
:
Initial human subject results for breast bi-plane correlation imaging technique. Medical Imaging: Computer-Aided Diagnosis 2007: 651423 - 2006
- [c24]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:
Beam Optimization for Digital Mammography - II. Digital Mammography / IWDM 2006: 273-280 - 2005
- [c23]Mia K. Markey
, Joseph Y. Lo
:
Issues in assessing multi-institutional performance of BI-RADS-based CAD systems. Medical Imaging: Image Processing 2005 - 2004
- [c22]Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo
:
Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Medical Imaging: Image Processing 2004 - [c21]Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo
:
New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. Medical Imaging: Image Processing 2004 - 2003
- [c20]Anna O. Bilska-Wolak, Carey E. Floyd Jr., Joseph Y. Lo
:
Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers. Medical Imaging: Image Processing 2003 - [c19]Walker H. Land, Daniel W. McKee, Joseph Y. Lo
, Frances R. Anderson:
Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. Medical Imaging: Image Processing 2003 - [c18]Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo
, Frances R. Anderson:
Application of support vector machines to breast cancer screening using mammogram and clinical history data. Medical Imaging: Image Processing 2003 - [c17]Joseph Y. Lo
, Marios A. Gavrielides, Mia K. Markey
, Jonathan L. Jesneck:
Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists. Medical Imaging: Image Processing 2003 - [c16]Georgia D. Tourassi
, Joseph Y. Lo
, Mia K. Markey
:
Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases. Medical Imaging: Image Processing 2003 - 2002
- [c15]Walker H. Land, Margaret Bryden, Joseph Y. Lo
, Daniel W. McKee, Frances R. Anderson:
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. IEEE Congress on Evolutionary Computation 2002: 187-192 - [c14]Walker H. Land, Anab Akanda, Joseph Y. Lo
, Francis Anderson, Margaret Bryden:
Application of support vector machines to breast cancer screening using mammogram and history data. Medical Imaging: Image Processing 2002 - [c13]Mia K. Markey
, Joseph Y. Lo
, Georgia D. Tourassi
, Carey E. Floyd Jr.:
Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions. Medical Imaging: Image Processing 2002 - 2001
- [c12]Walter H. Land Jr., Timothy Masters, Joseph Y. Lo, Daniel W. McKee:
Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data. CEC 2001: 1147-1154 - [c11]Walker H. Land, Timothy D. Masters, Joseph Y. Lo
, Daniel W. McKee:
Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification. Medical Imaging: Image Processing 2001 - 2000
- [c10]Walter H. Land Jr., Timothy Masters, Joseph Y. Lo:
Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis. CEC 2000: 1436-1442 - [c9]Walker H. Land, Timothy D. Masters, Joseph Y. Lo:
Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. Medical Imaging: Image Processing 2000 - [c8]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. Medical Imaging: Image Processing 2000 - [c7]Georgia D. Tourassi
, Carey E. Floyd Jr., Joseph Y. Lo:
Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation. Medical Imaging: Image Processing 2000 - 1999
- [c6]Joseph Y. Lo
, Carey E. Floyd Jr.:
Application of artificial neural networks for diagnosis of breast cancer. CEC 1999: 1755-1759 - [c5]Georgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo:
A constraint satisfaction neural network for medical diagnosis. IJCNN 1999: 3632-3635 - [c4]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. IJCNN 1999: 3712-3716 - [c3]Carey E. Floyd Jr., Joseph Y. Lo, Georgia D. Tourassi
:
Case-based reasoning as a computer aid to diagnosis. Medical Imaging: Image Processing 1999 - 1997
- [c2]Joseph Y. Lo, Carey E. Floyd Jr.:
Self-organizing maps for analyzing mammographic findings. ICNN 1997: 2472-2474 - 1996
- [c1]Joseph Y. Lo
, Jeffrey Kim, Jay A. Baker, Carey E. Floyd Jr.:
Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features. Medical Imaging: Image Processing 1996
Informal and Other Publications
- 2024
- [i17]Fakrul Islam Tushar, Vincent M. D'Anniballe
, Geoffrey D. Rubin, Joseph Y. Lo:
What limits performance of weakly supervised deep learning for chest CT classification? CoRR abs/2402.04419 (2024) - [i16]Fakrul Islam Tushar, Avivah Wang, Lavsen Dahal, Michael R. Harowicz, Kyle J. Lafata, Tina D. Tailor, Joseph Y. Lo:
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. CoRR abs/2405.04605 (2024) - [i15]Lavsen Dahal, Mobina Ghojogh Nejad, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luoa, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars:
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. CoRR abs/2405.11133 (2024) - [i14]Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin:
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography. CoRR abs/2406.06386 (2024) - 2023
- [i13]Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, Ehsan Abadi, William Paul Segars, Ehsan Samei, Joseph Y. Lo:
Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19. CoRR abs/2308.09730 (2023) - [i12]Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, William Paul Segars, Joseph Y. Lo:
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation. CoRR abs/2309.08289 (2023) - 2022
- [i11]Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei, William Paul Segars, Joseph Y. Lo:
Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. CoRR abs/2203.01934 (2022) - [i10]Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo:
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography. CoRR abs/2203.03074 (2022) - 2021
- [i9]Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. CoRR abs/2102.02959 (2021) - [i8]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR abs/2103.12308 (2021) - [i7]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR abs/2107.05605 (2021) - 2020
- [i6]Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin:
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR abs/2002.04752 (2020) - [i5]Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. CoRR abs/2008.01158 (2020) - [i4]Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei:
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry. CoRR abs/2008.08730 (2020) - [i3]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR abs/2011.00149 (2020) - [i2]Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski:
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. CoRR abs/2011.07995 (2020) - 2019
- [i1]Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo:
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. CoRR abs/1907.01710 (2019)
Coauthor Index
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