| Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren NPJ digital medicine 3 (1), 136, 2020 | 623 | 2020 |
| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 427 | 2022 |
| Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification I Banerjee, Y Ling, MC Chen, SA Hasan, CP Langlotz, N Moradzadeh, ... Artificial intelligence in medicine 97, 79-88, 2019 | 301 | 2019 |
| Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection SC Huang, A Pareek, R Zamanian, I Banerjee, MP Lungren Scientific reports 10 (1), 22147, 2020 | 217 | 2020 |
| Integrative personal omics profiles during periods of weight gain and loss BD Piening, W Zhou, K Contrepois, H Röst, GJG Urban, T Mishra, ... Cell systems 6 (2), 157-170. e8, 2018 | 197 | 2018 |
| 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, 2022 | 150 | 2022 |
| PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ... NPJ digital medicine 3 (1), 61, 2020 | 150 | 2020 |
| Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee Journal of Digital Imaging 35 (2), 137-152, 2022 | 120 | 2022 |
| AI pitfalls and what not to do: mitigating bias in AI JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ... The British Journal of Radiology 96 (1150), 20230023, 2023 | 119 | 2023 |
| Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma I Banerjee, A Crawley, M Bhethanabotla, HE Daldrup-Link, DL Rubin Computerized Medical Imaging and Graphics 65, 167-175, 2018 | 90 | 2018 |
| Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort I Banerjee, MC Chen, MP Lungren, DL Rubin Journal of Biomedical Informatics, 2017 | 84 | 2017 |
| Recurrent neural networks (RNNs): architectures, training tricks, and introduction to influential research S Das, A Tariq, T Santos, SS Kantareddy, I Banerjee Machine learning for Brain disorders, 117-138, 2023 | 81 | 2023 |
| Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 81 | 2021 |
| Decoding radiology reports: potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski, ZL Bercu, JM Newsome, ... Clinical imaging 101, 137-141, 2023 | 79 | 2023 |
| 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 28 (1), 136-143, 2022 | 79 | 2022 |
| Development and performance of the pulmonary embolism result forecast model (PERFORM) for computed tomography clinical decision support I Banerjee, M Sofela, J Yang, JH Chen, NH Shah, R Ball, AI Mushlin, ... JAMA network open 2 (8), e198719-e198719, 2019 | 72 | 2019 |
| Natural language processing approaches to detect the timeline of metastatic recurrence of breast cancer I Banerjee, S Bozkurt, JL Caswell-Jin, AW Kurian, DL Rubin JCO clinical cancer informatics 3, 1-12, 2019 | 70 | 2019 |
| Inferring generative model structure with static analysis P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré Advances in neural information processing systems 30, 2017 | 67 | 2017 |
| The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ... Radiology: Artificial Intelligence 5 (1), e220047, 2023 | 65 | 2023 |
| The role of artificial intelligence in echocardiography T Barry, JM Farina, CJ Chao, C Ayoub, J Jeong, BN Patel, I Banerjee, ... Journal of imaging 9 (2), 50, 2023 | 64 | 2023 |
Michela SpagnuoloCNR- IMATIPotvrđena adresa e-pošte na ge.imati.cnr.it