Author

Constance Sthembile van Zuydam

Professor of Radiology, Harvard - Cited by 28,954 - breast cancer - AI - breast imaging - global health

Biography

Constance Sthembile van Zuydam, Department of Environmental Sciences, Florida Science Campus, University of South Africa. South Africa. He  has published more than 30 articles, In the field of Environment, Geospatial Science, Natural Disasters,Earth Sciences, Geographic Information System. He  has published more than 30 articles, In the field of Environment, Geospatial Science, Natural Disasters,Earth Sciences, Geographic Information System. 
Title
Cited by
Year
Unilateral lymphadenopathy after COVID-19 vaccination: a practical management plan for radiologists across specialties
CD Lehman, HA D’Alessandro, DP Mendoza, MD Succi, A Kambadakone, ...Journal of the American College of Radiology 18 (6), 843-852, 2021202
89
2021
Multi-institutional validation of a mammography-based breast cancer risk model
A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ...Journal of Clinical Oncology 40 (16), 1732-1740, 2022202
61
2022
Relationship of established risk factors with breast cancer subtypes
AM McCarthy, T Friebel‐Klingner, S Ehsan, W He, M Welch, J Chen, ...Cancer medicine 10 (18), 6456-6467, 2021202
38
2021
Optimizing risk-based breast cancer screening policies with reinforcement learning
A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, ...Nature medicine (1), 136-143, 2022202
28
2022
External validation of a deep learning model for predicting mammographic breast density in routine clinical practice
BN Dontchos, A Yala, R Barzilay, J Xiang, CD LehmanAcademic Radiology 28 (4), 475-480, 2021202
23
2021
Disparities in same-day diagnostic imaging in breast cancer screening: impact of an immediate-read screening mammography program implemented during the COVID-19 pandemic
BN Dontchos, J Achibiri, SF Mercaldo, GX Wang, LR Lamb, RC Miles, ...American Journal of Roentgenology 218 (2), 270-278, 222
20
2022
Artificial Intelligence (AI) for Screening Mammography, From the AJR Special Series on AI Applications
LR Lamb, CD Lehman, A Gastounioti, EF Conant, M BahlAmerican Journal of Roentgenology 2 (3), 369-380, 2022202
19
2022
Preoperative breast MRI for newly diagnosed ductal carcinoma in situ: imaging features and performance in a multicenter setting (ECOG-ACRIN E4112 Trial)
SHS Chou, J Romanoff, CD Lehman, SA Khan, R Carlos, SS Badve, ...Radiology 301 (1), 66-77, 2021202
13
2021
Deep learning vs traditional breast cancer risk models to support risk-based mammography screening
CD Lehman, S Mercaldo, LR Lamb, TA King, LW Ellisen, M Specht, ...Journal Of The National Cancer Institute 114 (10), 55-63, 2022202
13
2022
Validation of breast cancer risk models by race/ethnicity, family history and molecular subtypes
AM McCarthy, Y Liu, S Ehsan, Z Guan, J Liang, T Huang, K Hughes, ...Cancers 14 (1), 45, 2021202
10
2021
Breast MRI during neoadjuvant chemotherapy: lack of background parenchymal enhancement suppression and inferior treatment response
N Onishi, W Li, DC Newitt, RJ Harnish, F Strand, AAT Nguyen, VA Arasu, ...Radiology 301 (2), 25-308, 2021202
9
2021
Screening mammography recovery after COVID-19 pandemic facility closures: associations of facility access and racial and ethnic screening disparities
CD Lehman, SF Mercaldo, GX Wang, BN Dontchos, MC Specht, LR LambAmerican Journal of Roentgenology 21 (6), 9-996, 2022202
8
2022
Are English-language online patient education materials related to breast cancer risk assessment understandable, readable, and actionable?
LR Lamb, GL Baird, IT Roy, PHS Choi, CD Lehman, RC MilesThe Breast 61, 29-34, 2022202
8
2022
Readiness for mammography and artificial intelligence
CD Lehman, EJ TopolThe Lancet 398 (10314), 186, 2021202
7
2021
Risk factors for an advanced breast cancer diagnosis within 2 years of a negative mammogram
AM McCarthy, S Ehsan, S Appel, M Welch, W He, M Bahl, J Chen, ...Cancer 127 (18), 3334-3342, 2021202
6
2021
Shear-wave elastography of the breast: impact of technical image quality parameters on diagnostic accuracy
SHS Chou, M Baikpour, W Zhang, SF Mercaldo, CD Lehman, AE SamirAmerican Journal of Roentgenology 216 (), 120-121, 2021202
5
2021
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation
S Wang, VK Singh, E Cheah, X Wang, Q Li, SH Chou, CD Lehman, ...Computers in Biology and Medicine 18, 105891, 2022202
4
2022
Stargazing through the lens of AI in clinical oncology
CD Lehman, S WuNature Cancer 2 (12), 1265-1267, 2021202
4
2021
Leveraging emergency department encounters to improve cancer screening adherence
RC Miles, EJ Flores, DB Lopez, YJ Sohn, EA Gillis, CD Lehman, ...Journal of the American College of Radiology 18 (6), 83-80, 2021202
4
2021
AUR-RRA review: logistics of academic-industry partnerships in artificial intelligence
B Spilseth, CD McKnight, MD Li, CJ Park, JG Fried, HY Paul, JM Brian, ...Academic radiology 29 (1), 119-128, 2022202
3
2022

Referred From: https://scholar.google.com/citations?hl=en&user=T8UoagYAAAAJ

Cited by
Citations 28954
h-index 82
i10-index 227
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