Y
Yiming Gao
Researcher at New York University
Publications - 90
Citations - 1905
Yiming Gao is an academic researcher from New York University. The author has contributed to research in topics: Breast cancer & Mammography. The author has an hindex of 17, co-authored 78 publications receiving 1052 citations. Previous affiliations of Yiming Gao include Harvard University & Fudan University.
Papers
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Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
Nan Wu,Jason Phang,Jungkyu Park,Yiqiu Shen,Zhe Huang,Masha Zorin,Stanisław Jastrzębski,Thibault Févry,Joe Katsnelson,Eric Kim,Stacey Wolfson,Ujas Parikh,Sushma Gaddam,Leng Leng Young Lin,Kara Ho,Joshua D. Weinstein,Beatriu Reig,Yiming Gao,Hildegard B. Toth,Kristine Pysarenko,Alana A. Lewin,Jiyon Lee,Krystal Airola,Eralda Mema,Stephanie H Chung,Esther Hwang,Naziya Samreen,S. Gene Kim,Laura Heacock,Linda Moy,Kyunghyun Cho,Krzysztof J. Geras +31 more
TL;DR: In this paper, a two-stage architecture and training procedure was proposed for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 100,000 images).
Posted Content
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Nan Wu,Jason Phang,Jungkyu Park,Yiqiu Shen,Zhe Huang,Masha Zorin,Stanisław Jastrzębski,Thibault Févry,Joe Katsnelson,Eric Kim,Stacey Wolfson,Ujas Parikh,Sushma Gaddam,Leng Leng Young Lin,Kara Ho,Joshua D. Weinstein,Beatriu Reig,Yiming Gao,Hildegard B. Toth,Kristine Pysarenko,Alana A. Lewin,Jiyon Lee,Krystal Airola,Eralda Mema,Stephanie H Chung,Esther Hwang,Naziya Samreen,S. Gene Kim,Laura Heacock,Linda Moy,Kyunghyun Cho,Krzysztof J. Geras +31 more
TL;DR: A deep convolutional neural network for breast cancer screening exam classification, trained, and evaluated on over 200000 exams, and it is shown that a hybrid model, averaging the probability of malignancy predicted by a radiologist with a prediction of the neural network is more accurate than either of the two separately.
Journal ArticleDOI
Evaluation of a known breast cancer using an abbreviated breast MRI protocol: Correlation of imaging characteristics and pathology with lesion detection and conspicuity
Laura Heacock,Amy N. Melsaether,Samantha L. Heller,Yiming Gao,Kristine Pysarenko,James S. Babb,Sungheon Kim,Linda Moy +7 more
TL;DR: Abbreviated magnetic resonance imaging has high rate of detection for known breast cancer and short interpretation time and initial enhancement ratio correlated with invasive disease and tumor grade.
Journal ArticleDOI
VirtualDose: a software for reporting organ doses from CT for adult and pediatric patients
A. Adam Ding,Yiming Gao,Haikuan Liu,Haikuan Liu,Peter F. Caracappa,D Long,Wesley E. Bolch,Bob Liu,X. George Xu +8 more
TL;DR: The development and testing of VirtualDose, a software for reporting organ doses for adult and pediatric patients who undergo x-ray computed tomography (CT) examinations, confirmed the conclusion from past studies that differences in anatomical realism offered by stylized and voxel phantoms have caused significant discrepancies in CT dose estimations.
Journal ArticleDOI
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
TL;DR: CAD development for breast imaging is undergoing a paradigm shift based on vast improvement of computing power and rapid emergence of advanced deep learning algorithms, heralding new systems that may hold real potential to improve clinical care.