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ORCIDJoseph Y. Lo
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- affiliation: Duke University, Durham, NC, USA
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2020 – today
- 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) - [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
- [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) - [c54]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 - [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
- [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) - [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)
2010 – 2019
- 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 - [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) - 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
- [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) - [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 - 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) - 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 - 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)
2000 – 2009
- 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
1990 – 1999
- 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
Coauthor Index
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