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Ian Pan
Ian Pan
Radiology Resident, Brigham and Women's Hospital
Dirección de correo verificada de bwh.harvard.edu - Página principal
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Año
Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT
HX Bai, B Hsieh, Z Xiong, K Halsey, JW Choi, TML Tran, I Pan, LB Shi, ...
Radiology 296 (2), E46-E54, 2020
15552020
Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT
HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ...
Radiology 296 (3), E156-E165, 2020
4352020
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498-503, 2019
3782019
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ...
Nature genetics 54 (5), 560-572, 2022
2732022
Deep learning: an update for radiologists
PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ...
Radiographics 41 (5), 1427-1445, 2021
952021
Deep learning in neuroradiology: a systematic review of current algorithms and approaches for the new wave of imaging technology
AD Yao, DL Cheng, I Pan, F Kitamura
Radiology: Artificial Intelligence 2 (2), e190026, 2020
772020
Tackling the radiological society of North America pneumonia detection challenge
I Pan, A Cadrin-Chênevert, PM Cheng
American Journal of Roentgenology 213 (3), 568-574, 2019
672019
Generalizable inter-institutional classification of abnormal chest radiographs using efficient convolutional neural networks
I Pan, S Agarwal, D Merck
Journal of digital imaging 32, 888-896, 2019
592019
Machine learning for social services: a study of prenatal case management in Illinois
I Pan, LB Nolan, RR Brown, R Khan, P van der Boor, DG Harris, R Ghani
American journal of public health 107 (6), 938-944, 2017
582017
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
R Wang, Z Jiao, L Yang, JW Choi, Z Xiong, K Halsey, TML Tran, I Pan, ...
European radiology 32, 205-212, 2022
532022
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study
Y He, I Pan, B Bao, K Halsey, M Chang, H Liu, S Peng, RA Sebro, J Guan, ...
EBioMedicine 62, 2020
512020
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging
R Wang, Y Cai, IK Lee, R Hu, S Purkayastha, I Pan, T Yi, TML Tran, S Lu, ...
European radiology 31, 4960-4971, 2021
462021
Improving automated pediatric bone age estimation using ensembles of models from the 2017 RSNA machine learning challenge
I Pan, HH Thodberg, SS Halabi, J Kalpathy-Cramer, DB Larson
Radiology: Artificial Intelligence 1 (6), e190053, 2019
462019
Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
A Mahajan, CN Spracklen, W Zhang, MCY Ng, LE Petty, H Kitajima, ...
MedRxiv, 2020.09. 22.20198937, 2020
312020
Evaluating progress in automatic chest x-ray radiology report generation
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Patterns 4 (9), 2023
272023
Rethinking Greulich and Pyle: a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographs
I Pan, GL Baird, S Mutasa, D Merck, C Ruzal-Shapiro, DW Swenson, ...
Radiology: Artificial intelligence 2 (4), e190198, 2020
272020
SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms
X Guo, WC O'Neill, B Vey, TC Yang, TJ Kim, M Ghassemi, I Pan, ...
Medical physics 48 (10), 5851-5861, 2021
202021
Reproducible artificial intelligence research requires open communication of complete source code
FC Kitamura, I Pan, TL Kline
Radiology: Artificial Intelligence 2 (4), e200060, 2020
122020
Multi-ancestry genome-wide study in> 2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications
K Suzuki, K Hatzikotoulas, L Southam, HJ Taylor, X Yin, KM Lorenz, ...
medRxiv, 2023
112023
A systematic review of deep learning applications for optical coherence tomography in age-related macular degeneration
SK Paul, I Pan, WM Sobol
Retina 42 (8), 1417-1424, 2022
112022
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Artículos 1–20