Lorraine M. King

According to our database, Lorraine M. King authored at least 11 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.

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

IEEE Trans. Biomed. Eng., 2022

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.

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 B. West, Eun-Sil Shelley Hwang, Yinyin Yuan

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.

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

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.

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

Briefings Bioinform., 2021

2020

Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.

Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

IEEE Trans. Biomed. Eng., 2020

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.

Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Malignant microcalcification clusters detection using unsupervised deep autoencoders.

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.

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

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.

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

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?

Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

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.

Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017