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A case-based interpretable deep learning model for classification of mass lesions in digital mammography.

A. Barnett, F. Schwartz, C. Tao, C. Chen, Y. Ren, J. Lo, and C. Rudin. Nat. Mach. Intell., 3 (12): 1061-1070 (2021)

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Jianxin Ren

Zhongliang Ren

Hongming Ren

Jun Ren

Xinguo Ren

Other publications of authors with the same name

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.Y. Peng, R. Hou, Y. Ren, L. Grimm, J. Marks, E. Hwang, and J. Lo. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Malignant microcalcification clusters detection using unsupervised deep autoencoders.R. Hou, Y. Ren, L. Grimm, M. Mazurowski, J. Marks, L. King, C. Maley, E. Hwang, and J. Lo. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502Q. SPIE, (2019)Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.D. Kong, Y. Ren, R. Hou, L. Grimm, J. Marks, and J. Lo. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502M. SPIE, (2019)Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.Y. Ren, J. Lu, Z. Liang, L. Grimm, C. Kim, M. Taylor-Cho, S. Yoon, J. Marks, and J. Lo. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 345-354. Springer, (2021)Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.A. Barnett, F. Schwartz, C. Tao, C. Chen, Y. Ren, J. Lo, and C. Rudin. CoRR, (2021)Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.R. Hou, Y. Peng, L. Grimm, Y. Ren, M. Mazurowski, J. Marks, L. King, C. Maley, E. Hwang, and J. Lo. IEEE Trans. Biomed. Eng., 69 (5): 1639-1650 (2022)Ipsilateral Lesion Detection Refinement for Tomosynthesis.Y. Ren, X. Liu, J. Ge, Z. Liang, X. Xu, L. Grimm, J. Go, J. Marks, and J. Lo. IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (October 2023)Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images.Y. Ren, Z. Zhu, Y. Li, and J. Lo. CoRR, (2019)Effects of radiofrequency channel numbers on B1+ mapping using the Bloch-Siegert shift method.Y. Ren, Y. Gao, B. Qiu, X. Nan, and J. Han. NeuroImage, (October 2023)A case-based interpretable deep learning model for classification of mass lesions in digital mammography.A. Barnett, F. Schwartz, C. Tao, C. Chen, Y. Ren, J. Lo, and C. Rudin. Nat. Mach. Intell., 3 (12): 1061-1070 (2021)

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Disambiguation of "Ren, Yinhao"

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A case-based interpretable deep learning model for classification of mass lesions in digital mammography.

Please choose a person to relate this publication to

Jianxin Ren

Zhongliang Ren

Hongming Ren

Jun Ren

Xinguo Ren

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ren, Yinhao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A case-based interpretable deep learning model for classification of mass lesions in digital mammography.

Please choose a person to relate this publication to

Jianxin Ren

Zhongliang Ren

Hongming Ren

Jun Ren

Xinguo Ren

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A case-based interpretable deep learning model for classification of mass lesions in digital mammography.