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Publications

Found 22 results
Filters: Author is Banerjee, I.  [Clear All Filters]
2020
An Automated Two-step Pipeline for Aggressive Prostate Lesion Detection from Multi-parametric MR Sequence, Sanyal, J., Banerjee I., Hahn L., and Rubin D. , AMIA Jt Summits Transl Sci Proc, Volume 2020, p.552-560, (2020)
Cancer Treatment Classification with Electronic Medical Health Records, Zeng, J., Banerjee I., Gensheimer M. F., and Rubin D. L. , (2020)
Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers, Banerjee, I., de Sisternes L., Hallak J. A., Leng T., Osborne A., Rosenfeld P. J., Gregori G., Durbin M., and Rubin D. , Sci Rep, Sep 22, Volume 10, Number 1, p.15434, (2020)
2019
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm, Bozkurt, S., Alkim E., Banerjee I., and Rubin D. L. , J Digit Imaging, Aug, Volume 32, Number 4, p.544-553, (2019)
Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data, Gensheimer, M. F., Henry A. S., Wood D. J., Hastie T. J., Aggarwal S., Dudley S. A., Pradhan P., Banerjee I., Cho E., Ramchandran K., et al. , J Natl Cancer Inst, Jun, Volume 111, Number 6, p.568-574, (2019)
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings, Banerjee, I., Bozkurt S., Alkim E., Sagreiya H., Kurian A. W., and Rubin D. L. , J Biomed Inform, Apr, Volume 92, p.103137, (2019)
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification, Banerjee, I., Ling Y., Chen M. C., Hasan S. A., Langlotz C. P., Moradzadeh N., Chapman B., Amrhein T., Mong D., Rubin D. L., et al. , Artif Intell Med, Jun, Volume 97, p.79-88, (2019)
Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support, Banerjee, I., Sofela M., Yang J., Chen J. H., Shah N. H., Ball R., Mushlin A. I., Desai M., Bledsoe J., Amrhein T., et al. , JAMA Netw Open, Aug 2, Volume 2, Number 8, p.e198719, (2019)
Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer, Banerjee, I., Bozkurt S., Caswell-Jin J. L., Kurian A. W., and Rubin D. L. , JCO Clin Cancer Inform, Oct, Volume 3, p.1-12, (2019)
Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment, Banerjee, I., Li K., Seneviratne M., Ferrari M., Seto T., Brooks J. D., Rubin D. L., and Hernandez-Boussard T. , JAMIA Open, Apr, Volume 2, Number 1, p.150-159, (2019)
2018
Assessing treatment response in triple-negative breast cancer from quantitative image analysis in perfusion magnetic resonance imaging, Banerjee, I., Malladi S., Lee D., Depeursinge A., Telli M., Lipson J., Golden D., and Rubin D. L. , J Med Imaging (Bellingham), Jan, Volume 5, Number 1, p.011008, (2018)
Automatic information extraction from unstructured mammography reports using distributed semantics, Gupta, A., Banerjee I., and Rubin D. L. , J Biomed Inform, Feb, Volume 78, p.78-86, (2018)
Integrative Personal Omics Profiles during Periods of Weight Gain and Loss, Piening, B. D., Zhou W., Contrepois K., Rost H., Urban G. J. Gu, Mishra T., Hanson B. M., Bautista E. J., Leopold S., Yeh C. Y., et al. , Cell Syst, Feb 28, Volume 6, Number 2, p.157-170 e8, (2018)
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives, Banerjee, I., Gensheimer M. F., Wood D. J., Henry S., Aggarwal S., Chang D. T., and Rubin D. L. , Sci Rep, Jul 3, Volume 8, Number 1, p.10037, (2018)
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort, Banerjee, I., Chen M. C., Lungren M. P., and Rubin D. L. , J Biomed Inform, Jan, Volume 77, p.11-20, (2018)
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs, Banerjee, I., Kurtz C., Devorah A. E., Do B., Rubin D. L., and Beaulieu C. F. , J Biomed Inform, Aug, Volume 84, p.123-135, (2018)
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization, Banerjee, I., Choi H. H., Desser T., and Rubin D. L. , AMIA Annu Symp Proc, Volume 2018, p.215-224, (2018)
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma, Banerjee, I., Crawley A., Bhethanabotla M., Daldrup-Link H. E., and Rubin D. L. , Comput Med Imaging Graph, Apr, Volume 65, p.167-175, (2018)
2017
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions, Banerjee, I., Beaulieu C. F., and Rubin D. L. , J Digit Imaging, Aug, Volume 30, Number 4, p.506-518, (2017)
Inferring Generative Model Structure with Static Analysis, Varma, P., He B., Bajaj P., Banerjee I., Khandwala N., Rubin D. L., and Re C. , Adv Neural Inf Process Syst, Dec, Volume 30, p.239-249, (2017)
Intelligent Word Embeddings of Free-Text Radiology Reports, Banerjee, I., Madhavan S., Goldman R. E., and Rubin D. L. , AMIA Annu Symp Proc, Volume 2017, p.411-420, (2017)
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma, Banerjee, I., Crawley A., Bhethanabotla M., Daldrup-Link H. E., and Rubin D. L. , Comput Med Imaging Graph, May 05, (2017)