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🐜
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Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds.
20 auth.
B. Turkbey,
H. Mani,
V. Shah,
V. Shah,
A. Rastinehad,
M. Bernardo,
M. Bernardo,
T. Pohida,
Y. Pang,
D. Daar,
...
C. Benjamin,
Y. McKinney,
H. Trivedi,
Celene Chua,
G. Bratslavsky,
J. Shih,
W. Linehan,
M. Merino,
P. Choyke,
P. Pinto
|
8 |
2011 |
8
🐜
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|
🐜
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A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain.
20 auth.
Yiming Ding,
J. Sohn,
M. Kawczynski,
H. Trivedi,
Roy Harnish,
N. Jenkins,
D. Lituiev,
T. Copeland,
Mariam S Aboian,
C. Mari Aparici,
...
S. Behr,
R. Flavell,
Shih-Ying Huang,
K. Zalocusky,
L. Nardo,
Youngho Seo,
R. Hawkins,
Miguel Hernandez Pampaloni,
D. Hadley,
B. Franc
|
8 |
2019 |
8
🐜
|
|
🐜
|
AI recognition of patient race in medical imaging: a modelling study
22 auth.
I. Banerjee,
A. Bhimireddy,
J. L. Burns,
L. Celi,
Li-Ching Chen,
R. Correa,
Natalie Dullerud,
M. Ghassemi,
Po-Chih Kuo,
M. Lungren,
...
L. Palmer,
Brandon Price,
S. Purkayastha,
Ayis Pyrros,
Luke Oakden-Rayner,
Chima Okechukwu,
Laleh Seyyed-Kalantari,
H. Trivedi,
Ryan Wang,
Z. Zaiman,
Haoran Zhang,
J. Gichoya
|
8 |
2021 |
8
🐜
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|
🐜
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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
73 auth.
T. Schaffter,
D. Buist,
Christoph I. Lee,
Yaroslav Nikulin,
D. Ribli,
Y. Guan,
William Lotter,
Zequn Jie,
Hao Du,
Sijia Wang,
Jiashi Feng,
Mengling Feng,
Hyo-Eun Kim,
F. Albiol,
A. Albiol,
...
Stephen Morrell,
Z. Wojna,
M. Ahsen,
U. Asif,
Antonio Jose Jimeno Yepes,
Shivanthan A. C. Yohanandan,
S. Rabinovici-Cohen,
Darvin Yi,
B. Hoff,
Thomas Yu,
E. Chaibub Neto,
D. Rubin,
Peter Lindholm,
L. Margolies,
R. McBride,
J. Rothstein,
W. Sieh,
Rami Ben-Ari,
S. Harrer,
A. Trister,
S. Friend,
Thea C. Norman,
B. Sahiner,
Fredrik Strand,
J. Guinney,
G. Stolovitzky,
Lester W. Mackey,
Joyce Cahoon,
Li Shen,
J. Sohn,
H. Trivedi,
Yiqiu Shen,
L. Buturovic,
José Costa Pereira,
Jaime S. Cardoso,
Eduardo Castro,
K. T. Kalleberg,
Obioma Pelka,
Imane Nedjar,
Krzysztof J. Geras,
F. Nensa,
Ethan Goan,
S. Koitka,
Luis Caballero,
David D. Cox,
Pavitra Krishnaswamy,
G. Pandey,
C. Friedrich,
Dimitri Perrin,
C. Fookes,
Bibo Shi,
Gerard Cardoso Negrie,
M. Kawczynski,
Kyunghyun Cho,
Can Son Khoo,
Joseph Y. Lo,
A. Sorensen,
Hwejin Jung
|
8 |
2020 |
8
🐜
|
|
🐬
|
Ethics of large language models in medicine and medical research.
H. Li,
J. Moon,
S. Purkayastha,
L. Celi,
H. Trivedi,
J. Gichoya
|
7 |
2023 |
7
🐬
|
|
🐬
|
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation
J. Jeong,
Amara Tariq,
Tobiloba Adejumo,
H. Trivedi,
J. Gichoya,
I. Banerjee
|
6 |
2022 |
6
🐬
|
|
🐜
|
AI pitfalls and what not to do: mitigating bias in AI
9 auth.
J. Gichoya,
Kaesha Thomas,
L. Celi,
Nabile Safdar,
I. Banerjee,
John Banja,
...
Laleh Seyyed-Kalantari,
H. Trivedi,
Saptarshi Purkayastha
|
6 |
2023 |
6
🐜
|
|
🦁
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Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson’s Natural Language Processing Algorithm
H. Trivedi,
Joseph Mesterhazy,
B. Laguna,
Thienkhai Vu,
J. Sohn
|
6 |
2018 |
6
🦁
|
|
🐜
|
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
25 auth.
Adam Yala,
Peter G. Mikhael,
Fredrik Strand,
Gigin Lin,
Siddharth Satuluru,
Thomas Kim,
I. Banerjee,
J. Gichoya,
H. Trivedi,
C. Lehman,
Kevin S Hughes,
David J Sheedy,
Lisa M Matthis,
Bipin Karunakaran,
Karen Hegarty,
...
Silvia Sabino,
T. B. Silva,
M. C. Evangelista,
Renato F Caron,
Bruno Souza,
E. Mauad,
T. Patalon,
S. Handelman-Gotlib,
Michal Guindy,
R. Barzilay
|
6 |
2021 |
6
🐜
|
|
🦁
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Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer.
15 auth.
H. Trivedi,
B. Turkbey,
A. Rastinehad,
C. Benjamin,
M. Bernardo,
M. Bernardo,
T. Pohida,
Vijay Shah,
Vijay Shah,
M. Merino,
...
B. Wood,
W. Linehan,
A. Venkatesan,
P. Choyke,
P. Pinto
|
6 |
2012 |
6
🦁
|
|
🐜
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Optimizing risk-based breast cancer screening policies with reinforcement learning
13 auth.
Adam Yala,
Peter G. Mikhael,
C. Lehman,
Gigin Lin,
Fredrik Strand,
Y. Wan,
Kevin S Hughes,
Siddharth Satuluru,
Thomas Kim,
I. Banerjee,
...
J. Gichoya,
H. Trivedi,
R. Barzilay
|
6 |
2021 |
6
🐜
|
