Jeffrey R. Marks
According to our database1,
Jeffrey R. Marks
authored at least 19 papers
between 2002 and 2023.
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Bibliography
2023
IEEE Trans. Medical Imaging, October, 2023
2022
IEEE Trans. Biomed. Eng., 2022
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
A new method to accurately identify single nucleotide variants using small FFPE breast samples.
Briefings Bioinform., 2021
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
IEEE Trans. Biomed. Eng., 2020
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2007
Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2002
Silico Biol., 2002