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 | 216 | 2020 |
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 | 190 | 2019 |
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 | 166 | 2018 |
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 | 101 | 2022 |
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), 1-9, 2020 | 81 | 2020 |
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 | 74* | 2020 |
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 | 74 | 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 | 72 | 2017 |
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 | 58 | 2022 |
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 | 53 | 2017 |
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 | 52 | 2021 |
Automatic information extraction from unstructured mammography reports using distributed semantics A Gupta, I Banerjee, DL Rubin Journal of biomedical informatics 78, 78-86, 2018 | 50 | 2018 |
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 | 49 | 2019 |
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 | 45 | 2019 |
Predicting inadequate postoperative pain management in depressed patients: a machine learning approach A Parthipan, I Banerjee, K Humphreys, SM Asch, C Curtin, I Carroll, ... PLoS One 14 (2), e0210575, 2019 | 44 | 2019 |
Intelligent Word Embeddings of Free-Text Radiology Reports I Banerjee, S Madhavan, RE Goldman, DL Rubin AMIA Annual Symposium 2017, 2017 | 42 | 2017 |
Automated survival prediction in metastatic cancer patients using high-dimensional electronic medical record data MF Gensheimer, AS Henry, DJ Wood, TJ Hastie, S Aggarwal, SA Dudley, ... JNCI: Journal of the National Cancer Institute 111 (6), 568-574, 2019 | 39 | 2019 |
Automated detection of measurements and their descriptors in radiology reports using a hybrid natural language processing algorithm S Bozkurt, E Alkim, I Banerjee, DL Rubin Journal of digital imaging 32, 544-553, 2019 | 36 | 2019 |
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs I Banerjee, C Kurtz, AE Devorah, B Do, DL Rubin, CF Beaulieu Journal of biomedical informatics 84, 123-135, 2018 | 34 | 2018 |
Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment I Banerjee, K Li, M Seneviratne, M Ferrari, T Seto, JD Brooks, DL Rubin, ... JAMIA open 2 (1), 150-159, 2019 | 32 | 2019 |