Eun-Sil Shelley Hwang

17 papers Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breast density in MRI: an AI-based quantification and relationship to assessment in mammography.
CoRR
Yaqian Chen, Lin Li, Hanxue Gu, Haoyu Dong, Derek L. Nguyen, Allan D. Kirk, Maciej A. Mazurowski, Eun-Sil Shelley Hwang
2025 J jnl
Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding.
CoRR
John C. Rollman, Bruce Rogers, Hamed Zaribafzadeh, Daniel Buckland, Ursula Rogers, Jennifer Gagnon, Ozanan Meireles, Lindsay Jennings, Jim Bennett, Jennifer Nicholson, Nandan Lad, Linda Cendales, Andreas Seas, Alessandro Martinino, Eun-Sil Shelley Hwang, Allan D. Kirk
2022 J jnl
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.
IEEE Trans. Biomed. Eng.
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
2022 — conf
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.
ISBI
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
2022 — conf
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.
AIIIMA/MIABID@MICCAI
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
2021 J jnl
A new method to accurately identify single nucleotide variants using small FFPE breast samples.
Briefings Bioinform.
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
2020 — conf
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.
Computer-Aided Diagnosis
Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 — conf
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
Computer-Aided Diagnosis
Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 J jnl
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
IEEE Trans. Biomed. Eng.
Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019 J jnl
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
Comput. Biol. Medicine
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2019 — conf
Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Computer-Aided Diagnosis
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
2018 — conf
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data.
Computer-Aided Diagnosis
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2018 — conf
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Computer-Aided Diagnosis
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
2018 — conf
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Computer-Aided Diagnosis
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
2017 — conf
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Computer-Aided Diagnosis
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017 J jnl
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
CoRR
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2017 — conf
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.
Computer-Aided Diagnosis
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo