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Jonathan I. Epstein

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2010 – 2019

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2017
[c7]
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  dblp key:
  - conf/iccabs/LinLEV17
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  - https://dblp.org/rec/conf/iccabs/LinLEV17
Wen-Chyi Lin, Ching-Chung Li, Jonathan I. Epstein, Robert W. Veltri:
Advance on curvelet application to prostate cancer tissue image classification. ICCABS 2017: 1-6
2016
[c6]
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Wen-Chyi Lin, Ching-Chung Li, Jonathan I. Epstein, Robert W. Veltri:
Curvelet-based texture classification of critical Gleason patterns of prostate histological images. ICCABS 2016: 1-6
2015
[j1]
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  - journals/cmig/AliVECM15
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Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi:
Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays. Comput. Medical Imaging Graph. 41: 3-13 (2015)
[c5]
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  - conf/embc/RenSWEFQ15
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Jian Ren, Evita T. Sadimin, Daihou Wang, Jonathan I. Epstein, David J. Foran, Xin Qi:
Computer aided analysis of prostate histopathology images Gleason grading especially for Gleason score 7. EMBC 2015: 3013-3016
[c4]
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  - conf/isbi/LinLCEV15
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Wen-Chyi Lin, Ching-Chung Li, Christhunesa Christudass, Jonathan I. Epstein, Robert W. Veltri:
Curvelet-based classification of prostate cancer histological images of critical Gleason scores. ISBI 2015: 1020-1023
2013
[c3]
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  - conf/miccai/LeeAVECM13
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George Lee, Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi:
Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays. MICCAI (3) 2013: 396-403
2011
[c2]
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  - conf/bibm/YoonLCVEZ11
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Hong-Jun Yoon, Ching-Chung Li, Christhunesa Christudass, Robert Veltri, Jonathan I. Epstein, Zhen Zhang:
Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading. BIBM 2011: 315-320
[c1]
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Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi:
Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer. MICCAI (1) 2011: 661-669

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