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)
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)