Jeffrey R. Marks

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 17

Top Topics

Transfer Learning

Digital Mammography

Lesion Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

IEEE Trans. Biomed. Eng.

Briefings Bioinform.

Publications

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) (2023)
Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. ISBI (2022)
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) (2022)
Yeman Brhane Hagos, Faranak Sobhani, Simon P. Castillo, Allison H. Hall, Khalid AbdulJabbar, Roberto Salgado, Bryan Harmon, Kristalyn Gallagher, Mark Kilgore, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Robert West, Eun-Sil Shelley Hwang, Yinyin Yuan
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence. AIIIMA/MIABID@MICCAI (2022)
Angelo Fortunato, Diego Mallo, Shawn M. Rupp, Lorraine M. King, Timothy Hardman, Joseph Y. Lo, Allison Hall, Jeffrey R. Marks, E. Shelley Hwang, Carlo C. Maley
A new method to accurately identify single nucleotide variants using small FFPE breast samples. Briefings Bioinform. 22 (6) (2021)
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)
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)
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) (2020)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
Prediction and uncertainty in the analysis of gene expression profiles. Silico Biol. 2 (3) (2002)
Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
Prediction and uncertainty in the analysis of gene expression profiles. German Conference on Bioinformatics (2001)