Publications

US Patent

Rubin, Daniel L., and Imon Banerjee. "Systems and Methods for Generating Context-Aware Word Embeddings." U.S. Patent Application 16/810,719, filed September 10, 2020.

BOOK CHAPTER

Imon Banerjee, Chiara Eva Catalano, Francesco Robbiano, Michela Spagnuolo, "Accessing and representing knowledge in the medical field: integration perspectives", 3D Multiscale Physiological Human, Springer London, pp: 297-316, https://doi.org/10.1007/978-1-4471-6275-9 13, (2014).

INTERNATIONAL JOURNAL PAPER

2021

1. Tariq, Amara, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, and Imon Banerjee. "Patient-specific COVID-19 resource utilization prediction using fusion AI model." NPJ digital medicine 4, no. 1 (2021): 1-9.

2. Sadasivuni, Sudarsan, Monjoy Saha, Neal Bhatia, Imon Banerjee, and Arindam Sanyal. "Fusion of Fully Integrated Analog Machine Learning Classifier with Electronic Medical Records for Real-Time Prediction of Sepsis Onset." (2021).

3. Clayton, Eric J., Imon Banerjee, Patrick J. Ward, Maggie D. Howell, Beth Lohmueller, Sunita Pierson, Rachel Hall, Peter B. Harrison, and David Michael Waterhouse. "A natural language processing tool for automatic identification of new disease and disease progression: Parsing text in multi-institutional radiology reports to facilitate clinical trial eligibility screening." (2021): 1555-1555.

4. Sanyal, Josh, Amara Tariq, Allison W. Kurian, Daniel Rubin, and Imon Banerjee. "Weakly supervised temporal model for prediction of breast cancer distant recurrence." Scientific Reports 11, no. 1 (2021): 1-11.

5. Karimi, Yasmin H., Douglas W. Blayney, Allison W. Kurian, Jeanne Shen, Rikiya Yamashita, Daniel Rubin, and Imon Banerjee. "Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data." JCO Clinical Cancer Informatics 5 (2021): 469-478.

6. Jiaming Zeng, Imon Banerjee, A. Solomon Henry, Douglas J. Wood, Ross D. Shachter, Michael F. Gensheimer, and Daniel L. Rubin. "Natural Language Processing to Identify Cancer Treatments With Electronic Medical Records." JCO Clinical Cancer Informatics 5 (2021): 379-393.

7. Sun, Ran, Imon Banerjee, Shengtian Sang, Jennifer Joseph, Jennifer Schneider, and Tina Hernandez-Boussard. "Type 1 Diabetes Management With Technology: Patterns of Utilization and Effects on Glucose Control Using Real-World Evidence." Clinical Diabetes (2021).

8. Chaves, J.M.Z., Chaudhari, A.S., Wentland, A.L., Banerjee, I., Boutin, R.D., Maron, D.J., Rodriguez, F., Sandhu, A.T., Jeffrey, R.B., Rubin, D. and Patel, B., 2021. Opportunistic Assessment of Ischemic Heart Disease Risk Using Abdominopelvic Computed Tomography and Medical Record Data: a Multimodal Explainable Artificial Intelligence Approach. medRxiv.

9. Chandrasekaran, Sanjeev Tannirkulam, Akshay Jayaraj, Vinay Elkoori Ghantala Karnam, Imon Banerjee, and Arindam Sanyal. "Fully Integrated Analog Machine Learning Classifier Using Custom Activation Function for Low Resolution Image Classification." IEEE Transactions on Circuits and Systems I: Regular Papers (2021).

2020

1. Huang, Shih-Cheng, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, and Matthew P. Lungren. "Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines." NPJ digital medicine 3, no. 1 (2020): 1-9.

2. Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Philip J. Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin, "Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers", Nature Scientific Reports (2020).

3. Bozkurt, Selen, Rohan Paul, Jean Coquet, Ran Sun, Imon Banerjee, James D. Brooks, and Tina Hernandez‐Boussard. "Phenotyping severity of patient‐centered outcomes using clinical notes: A prostate cancer use case." Learning health systems 4, no. 4 (2020): e10237.

4. Sumukh Prashant Bhanushali, Sudarsan Sadasivuni, Imon Banerjee, and Arindam Sanyal. "Digital Machine Learning Circuit for Real-Time Stress Detection from Wearable ECG Sensor." In 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 978-981. IEEE, 2020.

5. Amara Tariq, Saptarshi Purkayastha, Geetha P. Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, and Judy W. Gichoya. "Current clinical applications of AI in Radiology and their best-supporting evidence." Journal of the American College of Radiology (2020).

6. Sanjeev Tannirkulam Chandrasekaran, Sumukh Prashant Bhanushali, Imon Banerjee, and Arindam Sanyal. "A Bio-Inspired Reservoir-Computer for Real-Time Stress Detection from ECG Signal." IEEE Solid-State Circuits Letters (2020).

7. Shih-Cheng Huang, Anuj Pareek, Roham Zamanian, Imon Banerjee, Matthew P Lungren, ``Multimodal Fusion with Deep Neural Networks for Leveraging CT Imaging and Electronic Health Record - A Case-study in Pulmonary Embolism Detection", Nature Scientific Reports, 2020. (accepted)

8. Scott J. Lee,Brent D. Weinberg, Ashwani Gore, Imon Banerjee, "A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports", Journal of Digital Imaging, 2020.

9. Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Norah Borus, Andrew Huang, Bhavik N Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y Ng, Matthew P Lungren, "PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging", npj Digital Medicine, 2020.

10. Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, and Judy W. Gichoya. "Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications." arXiv preprint arXiv:2006.13262 (2020).

11. Scott J. Lee, Brent D. Weinberg, Ashwani Gore, and Imon Banerjee. "A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports." Journal of Digital Imaging(2020).

12. van Assen, Marly, Imon Banerjee, and Carlo N. De Cecco. "Beyond the artificial intelligence hype: what lies behind the algorithms and what we can achieve." Journal of Thoracic Imaging 35 (2020): S3-S10.

13. Huang, Shih-Cheng, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang et al. "PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging." npj Digital Medicine 3, no. 1 (2020): 1-9.

14. Chandrasekaran, Sanjeev T., Ruobing Hua, Imon Banerjee, and Arindam Sanyal. "A Fully-Integrated Analog Machine Learning Classifier for Breast Cancer Classification." Electronics 9, no. 3 (2020): 515.

15. Li, Kevin, Imon Banerjee, Christopher J. Magnani, Douglas W. Blayney, James D. Brooks, and Tina Hernandez-Boussard. "Clinical Documentation to Predict Factors Associated with Urinary Incontinence Following Prostatectomy for Prostate Cancer." Research and Reports in Urology 12 (2020):

2019

1. Imon Banerjee, Selen Bozkurt, Jennifer Lee Caswell-Jin, Allison W. Kurian, and Daniel L. Rubin. "Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer." JCO Clinical Cancer Informatics (2019).

2. Imon Banerjee, Miji Sofela, Jaden Yang, Jonathan H. Chen, Nigam H. Shah, Robyn Ball, Alvin I. Mushlin et al. "Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support." JAMA network open2, no. 8 (2019): e198719-e198719.

3. Davide Gori, Imon Banerjee, Benjamin I. Chung, Michelle Ferrari, Paola Rucci, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard, "Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy", eGEMS (2019).

4. Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin, "Automatic Inference of BIRADS Final Assessment Categories from Narrative Mammography Report Findings, Journal of Biomedical Informatics", (2019).

5. Imon Banerjee, Selen Bozkurt, Emel Alkim, Daniel L. Rubin, "Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm", Journal of Digital Imaging (2019).

6. Arjun Parthipan, Imon Banerjee, Keith Humphryes, Steve M. Asch, Daniel Rubin, Catherine Curtin, Ian Carroll, Tina Hernandez-Boussard, "Predicting Inadequate Postoperative Pain Management in Depressed Patients: A Machine Learning Approach", Plos one.

7. Imon Banerjee, Kevin Li, Martin Seneviratne, Michelle Ferrari, Tina Seto, James D. Brooks, Daniel L. Rubin, Tina Hernandez-Boussard, Weakly supervised natural language processing for assessing treatment-related side effects following prostate cancer treatment, JAMIA Open, ooy057, https://doi.org/10.1093/jamiaopen/ooy057, (2019).

2018

1. Imon Banerjee, Camille Kurtz, Alon Edward Devorah, Bao Do, Daniel L. Rubin, Christopher F. Beaulieu, Relevance Feedback for Enhancing Content Based Image Retrieval and Automatic Prediction of Semantic Image Features: Application to Bone Tumor Radiographs, Journal of Biomedical Informatics, 84, pp.123-135, doi:https://doi.org/10.1016/j.jbi.2018.07.002, (2018).

2. Imon Banerjee, Matthew C. Chen, Yuan Ling, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian Chapman, Timothy Amrhein, David Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren, Comparative E ectiveness of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Architectures for Radiology Text Report Classification, Journal of Artificial Intelligence in Medicine, https://doi.org/10.1016/j.artmed.2018.11, (2018).

3. Jayaraj, Akshay, Sanjeev Tannirkulam Chandrasekaran, Archana Ganesh, Imon Banerjee, Arindam Sanyal, Maximum Likelihood Estimation Based SAR ADC, IEEE Transactions on Circuits and Systems II: Express Briefs, https://doi.org/10.1109/TCSII.2018.2886260, (2018).

4. Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Sonya Aggarwal, Daniel T. Chang, Daniel L. Rubin, Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives, Nature Scientific Reports, volume 8, Article number: 10037 (2018)

5. Michael F. Gensheimer, Sonya Aggarwal, Sara A. Dudley, A. Solomon Henry, Douglas J.Wood, Trevor J. Hastie, Imon Banerjee, Eunpi Cho, Pooja Pradhan, Albert C. Koong, Daniel L. Rubin, Daniel T. Chang, Large-Scale Machine Learning for Survival Prediction in Metastatic Cancer Patients, JNCI: Journal of the National Cancer Institute, djy178, https://doi.org/10.1093/jnci/djy178, (2018).

6. Brian D. Piening, Wenyu Zhou, Kevin Contrepois, Hannes Rst, Gucci Jijuan Gu Urban, Tejaswini Mishra, Blake M. Hanson, Eddy J. Bautista, Shana Leopold, Christine Y. Yeh, Daniel Spakowicz, Imon Banerjee, Cynthia Chen, Kimberly Kukurba, Dalia Perelman, Colleen Craig, Elizabeth Colbert, Denis Salins, Shannon Rego, Sunjae Lee, Cheng Zhang, Jessica Wheeler, M. Reza Sailani, Liang Liang, Charles Abbott, Mark Gerstein, Adil Mardinoglu, Ulf Smith, Daniel L. Rubin Sharon Pitteri, Erica Sodergren, Tracey L. McLaughlin, George M. Weinstock, Michael P. Snyder, Integrative Personal Omics Pro les During Periods of Weight Gain and Loss, Cell System, 228; 6(2):157-170.e8, https://doi.org/10.1016/j.cels.2017.12.013, (2018) (Press coverage by NYtimes).

7. Asan Agibetov, Ernesto Jim enez-Ruiz, Marta Ondr esik, Alessandro Solimando, Imon Banerjee, Giovanna Guerrini, Chiara E. Catalano, Joaquim M. Oliveira, Giuseppe Patan e, Rui L. Reis, Michela Spagnuolo, Supporting Shared Hypothesis Testing in the Biomedical Domain, Journal of Biomedical Semantics, 9(1):9, https://doi.org/10.1186/s13326-018-0177-x, (2018).

8. Anupama Gupta, Imon Banerjee, Daniel L. Rubin, Automatic Information Extraction from Unstructured Mammography Reports Using Distributed Semantics, Journal of Biomedical Informatics Association, 78:78-86, https://doi.org/10.1016/j.jbi.2017.12.016, (2018).

2017

1. Imon Banerjee, Matthew C. Chen, Matthew P. Lungren, Daniel L. Rubin, Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort, Journal of Biomedical Informatics Association, 77: 11-20, doi: https://doi.org/10.1016/j.jbi.2017.11.01, (2017) .

2. Imon Banerjee, Sadhika Malladi, Daniela Lee, Adrien Depeursinge, Melinda Telli, Ja Lipson, Dan Golden, and Daniel L. Rubin, Predicting Treatment Response in Triple Negative Breast Cancer from Quantitative Image Analysis in Perfusion MRI", Journal of Medical Imaging, 5(1): 011008, https://doi.org/10.1117/1.JMI.5.1.011008, (2017).

3. Imon Banerjee, Christopher F. Beaulieu, Daniel L. Rubin,\Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions", Journal of Digital Imaging, 30(4):506-518, https://doi.org/10.1007/s10278-017-9987-0, (2017).

4. Imon Banerjee, Alexis Crawley, Mythili Bhethanabotla, Heike E Daldrup-Link, Daniel L. Rubin, Transfer Learning on Fused Multiparametric MR Images for Classifying Histopathological Subtypes of Rhabdomyosarcoma, Computerized Medical Imaging and Graphics, 65:167-175, https://doi.org/10.1016/j.compmedimag.2017.05.002, (2017).

5. Imon Banerjee, Arindam Sanyal, Statistical estimator for simultaneous noise and mismatch suppression in SAR ADC", Electronics Letter, 53(12):773 - 775, https://doi.org/10.1049/el.2017.0928, (2017).

6. Imon Banerjee, Giuseppe Patan e, Michela Spagnuolo "Combination of Visual and Symbolic Knowledge: A Survey in Anatomy", Computers in Biology and Medicine, 80:148-157, https://doi.org/10.1016/j.compbiomed.2016.11.018, (2017).

2016

1. Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patan e, Michela Spagnuolo "Semantics-driven Annotation of Patient-Specific 3D Data: A Step to Assist Diagnosis and Treatment of Rheumatoid Arthritis", The Visual Computing journal, 32(10):1337-1349 https://doi.org/10.1007/s00371-016-1226-z, (2016).

2. Imon Banerjee, Chiara Eva Catalano, Giuseppe Patan e, Michela Spagnuolo "Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies", International Journal of Computer Assisted Radiology and Surgery, 11(5):707-720, https://doi.org/10.1007/s11548-015-1327-6, (2015).

3. Abhinandan Dutta, Imon Banerjee "Priority based mathematical modeling for Grid computing environment", Undergraduate Academic Research Journal (UARJ), 1(1): 112 - 117, 2012. ISSN : 2278 1129, (2012).

INTERNATIONAL CONFERENCE, WORKSHOP & SHORT PAPERS

2021

1. Tariq, Amara, Leo Celi, Janice Newsome, Saptarchi Purkayastha, Neal Bhatia, Faisal Merchant, Hari Trivedi, Judy Gichoya, and Imon Banerjee. "PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL." Journal of the American College of Cardiology 77, no. 18_Supplement_1 (2021): 3194-3194.

2. Sadasivuni, Sudarsan, Rahul Chowdhury, Vinay Elkoori Ghantala Karnam, Imon Banerjee, and Arindam Sanyal. "Recurrent Neural Network Circuit for Automated Detection of Atrial Fibrillation from Raw ECG." In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5. IEEE, 2021.

3. Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Faisal Merchant, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee,"Patient-specific covid-19 resource utilization prediction using fusion AI model", ACC’s 70th Annual Scientific Session, May 15-17, 2021, in Atlanta, Georgia.

4. Dipam Paul, Alankrita Tewari , Imon Banerjee, Super Learner Model to Detect Abnormalities - OCT and blood smear imaging case studies, AAAI 2021 Workshop on Trustworthy AI for Healthcare.

5. Dipam Paul, Alankrita Tewari , Imon Banerjee, "Boosting Classification Accuracy of Fertile Sperm Cell Images leveraging cDCGAN", ICLR SEDL 2021.

6. Eric J. Clayton, Imon Banerjee, Patrick J. Ward, Maggie D Howell, Beth Lohmueller, Sunita Pierson, Rachel Hall, Peter B Harrison, David Michael Waterhouse, "A natural language processing tool for automatic identification of new disease and disease progression: Parsing text in multi-institutional radiology reports to facilitate clinical trial eligibility screening", ASCO Annual Meeting. 2021.

2020

1. Amara Tariq,Marly van Assen, Carlo N De Cecco, Imon Banerjee, ``Computing CAD-RADS Score using free-text from Coronary CT Angiography Reports", Conference in Machine Intelligence in Medical Imaging, CMIMI 2020.

2. Xiaoyuan Guo, Judy Gichoya, Hari Trivedi, Imon Banerjee, ``Deeper Thinner UNet (DT-UNet) for Fine Vessel Segmentation of Breast Arterial Calcifications (BAC)", Conference in Machine Intelligence in Medical Imaging, CMIMI 2020.

3. Yasmin H Karimi, Douglas W. Blayney, Allison W. Kurian, Daniel Rubin, Imon Banerjee, Development and validation of natural language processing (NLP) algorithm for detection of distant versus local breast cancer recurrence and metastatic site, ASCO Annual meeting 2020.

4. Scott J. Lee, Brent D. Weinberg, Ashwani Gore, Imon Banerjee, A Novel Natural Language Processing Method for Inferring BT-RADS Scores from Unstructured MRI Reports in Patients with Primary Brain Tumors, SIIM Annual Meeting 2020.

5. Hari Trivedi, Imon Banerjee, Machine Learning for Automatic Neuro MR Study Protocoling, SIIM Annual Meeting 2020.

6. Hari Trivedi, Imon Banerjee, Automatic Vetting of Appropriateness of Radiology Studies using Machine Learning, SIIM Annual Meeting 2020.

7. Imon Banerjee, Selen Bozkurt, Jennifer Lee Caswell-Jin, Allison W. Kurian, Daniel L. Rubin, Detection of Metastatic Recurrence Timeline from Clinical Notes, AMIA informatics 2020 (accepted as podium abstract).

8. Josh Sanyal, Imon Banerjee, Lewis Hahn, Daniel Rubin, An Automated Two-step Pipeline for Aggressive Prostate Lesion Detection from Multi-modal MR Sequence, AMIA informatics 2020 (accepted as regular paper).

9. Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel Rubin, Cancer Treatment Classification with Electronic Medical Health Records, AAAI Conference on Artificial Intelligence (AAAI-20)

2019

1. Imon Banerjee, Miji Sofela, Timothy Amrhein, MD8; Daniel L. Rubin, Roham Zamanian, Matthew P. Lungren, Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study, AMIA Annual Symposium, 2019.

2. Ron C. Li, Imon Banerjee, Daniel Rubin, Jonathan H. Chen “Detecting unanticipated actions downstream from clinical decision support: a data mining approach”, AMIA Annual Symposium, 2019.

3. Terry Desser, Imon Banerjee, Haliey Choi, Roderick King, Daniel Rubin, Identifying missed hepatocellular carcinomas in an ultrasound screening and surveillance program using artificial intelligence, European Congress of Radiology (ECR), 2019.

4. Josh Sanyal, Imon Banerjee, Daniel Rubin, Registration Boost Performance of Aggressive Prostate Cancer Diagnosis,American Medical Informatics Association (AMIA) Informatics Summit, 2019.

2018

1. Imon Banerjee, Hailey H. Choi, Terry Desser, Daniel L. Rubin, A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization", American Medical Informatics Association (AMIA) Annual Symposium 2018, https://arxiv.org/abs/1806.07346.

2. Imon Banerjee, Hailey H. Choi, Daniel L. Rubin, Terry Desser, Application of Machine Learning to Infer Ultrasound LI-RADS Categories across Multi-Institutional Radiology Reports", 104th Scienti c Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2018.

3. Hailey H. Choi, Imon Banerjee, Aya Kamaya, Daniel L. Rubin, Terry Desser, Machine Learning for rapid assessment of outcomes of an ultrasound screening and surveillance program in patients at risk for hepatocellular carcinoma", 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2018, (selected for press review).

4. Imon Banerjee, Hailey H. Choi, Terry Desser, Daniel L. Rubin, A distributional semantics model for automatically assigning ACR Ultrasound LI-RADS categories across multi-template and multi-institutional radiology reports", 3rd Annual Scientific Conference on Machine Intelligence in Medical Imaging (C-MIMI) of the Society for Imaging Informatics in Medicine (SIIM), PDF link, 2018.

5. Selen Bozkurt, Emel Alkim, Imon Banerjee, Daniel L. Rubin, "Automated Detection of Lesion Measurements and Relationships in Radiology Reports Using a Hybrid Natural Language Processing Algorithm", 3rd Annual Scientific Conference on Machine Intelligence in Medical Imaging (C-MIMI) of the Society for Imaging Informatics in Medicine (SIIM), PDF link, 2018.

6. Imon Banerjee, Michael Francis Gensheimer, J. Douglas Wood, Solomon Henry, Daniel T. Chang, Daniel L. Rubin, Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives", American Medical Informatics Association (AMIA) Informatics Summit, PDF link, 2018 (presented as podium abstract).

7. Kevin Li, Imon Banerjee, Christopher J. Magnani, Tina Seto, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard, Practice-based evidence for factors associated with urinary incontinence following prostate cancer care, Genitourinary Cancers Symposium, 2018.

2017

1. Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin, Intelligent Word Embeddings of Free-Text Radiology Reports", American Medical Informatics Association (AMIA) Annual Symposium, PDF link, 2017.

2. Paroma Varma, Bryan He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher R e, Inferring Generative Model Structure with Static Analysis, Advances in Neural Information Processing Systems (NIPS), https://papers.nips.cc/paper/6628-inferring- generative-model-structure-with-static-analysis.pdf, 2017.

3. Stephen R. Vossler, Imon Banerjee, Bao H. Do, Daniel L. Rubin, Christopher F. Beaulieu, Semantic Labeling of Musculoskeletal Radiographs Using Deep Learning, The Radiological Society of North America (RSNA) annual meeting, 2017 (Trainee award).

4. Imon Banerjee , "Integration of Shape Analysis and Knowledge Techniques for the Semantic Annotation of Patient-Speci c 3D Data" Journal of Medical Physics, online Ph.D. thesis abstract, 2017.

5. Imon Banerjee , Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin, "Annotation of Medical Data using Intelligent Embedding of Free-text Clinical Notes" Big Data in Biomedicine Conference, Stanford, 2017.

2016

1. Imon Banerjee , Lewis Hahn, Geo rey Sonn, Richard Fan, Daniel L. Rubin,\Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment." NIPS 2016 Workshop on Machine Learning for Health, https://arxiv.org/abs/1612.00408, 2016.

2015

1. Imon Banerjee , Hamid Laga, Guiseppe Patan e, Sebastian Kurtek, Anuj Srivastava, Michela Spagnuolo, "Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones", New Trends in Image Analysis and Processing - ICIAP 2015, https://doi.org/10.1007/978-3-319-23222-5 21, Springer 2015.

2. Imon Banerjee , Asan Agibetov, Chiara Eva Catalano, Giuseppe Patan e, Michela Spagnuolo, "Semantic Annotation of Patient-Speci c 3D Anatomical Models", IEEE Proceedings of the International Conference on Cyberworlds, IEEE 2015.

3. Imon Banerjee , Giuseppe Patan e, Michela Spagnuolo, "SemAnatomy3D: Annotation of Patient-Speci c Anatomy, EuroGraphics Digital Library, Stag 2015, http://dx.doi.org/10.2312/stag.20151292.

4. Imon Banerjee , Chiara Eva Catalano, Giuseppe Patan e, Michela Spagnuolo, "Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies, Computer Assisted Radiology and Surgery (CARS), 2015.

2014 and older

1. Imon Banerjee , Marios Pitikakis, Knowledge management in medicine: a framework to organize, browse and search medical data, International Conference on Health Informatics, Healthinf 2014.

2. Imon Banerjee , Animesh Dutta, Shrutilipi Bhattacharjee, "Formal Design of Teleteaching Interactivity", ITC '10 Proceedings of the 2010 International Conference on Recent Trends in Information, Telecommunication and Computing, 2010.

3. Animesh Dutta, Imon Banerjee , Shrutilipi Bhattacharya, Ranjan Dasgupta, Swapan Bhattachary ,\Framework for Domain Analysis of Teleteaching System: A Semiformal Approach", Proceedings of the 2010 International Conference on Software Engineering Research & Practice, SERP 2010.

4. Shrutilipi Bhattacharjee, Imon Banerjee , Animesh Datta, "An Ontology Based Framework for Domain Analysis of Interactive System.",Contemporary Computing - Third International Conference, IC3 2010.

5. Imon Banerjee , Shrutilipi Bhattacharjee, "Design of Tele-healthcare Interactivity: A Semi Formal Approach", 2nd Annual International Conference IEMCON 2012.

TECHNICAL REPORT

1. Imon Banerjee , Chiara Eva Catalano, Giuseppe Patan e, Michela Spagnuolo, "Semantic annotation of 3D patient-specific models.", Technical Report. 2015 IMATI, Genova.

2. Imon Banerjee , Chiara Eva Catalano, Giuseppe Patan e, Francesco Robbiano, Michela Spagnuolo, "Survey on medical ontologies.", Technical Report.2012 IMATI, Genova.