Publications

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161 entries « 2 of 4 »

2020

Balthazar, Patricia; Lee, Scott Jeffery; Rubin, Daniel; Dessar, Terry; Gichoya, Judy; Banerjee, Imon

Transfer Language Space with Similar Domain Adaptation: A Case Study with Hepatocellular Carcinoma Journal Article

In: medRxiv, 2020.

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Bhimireddy, Ananth; Sinha, Priyanshu; Oluwalade, Bolu; Gichoya, Judy Wawira; Purkayastha, Saptarshi

Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks Inproceedings

In: CEUR Workshop Proceedings, 2020.

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Tariq, Amara; Purkayastha, Saptarshi; Padmanaban, Geetha Priya; Krupinski, Elizabeth; Trivedi, Hari; Banerjee, Imon; Gichoya, Judy Wawira

Current clinical applications of artificial intelligence in radiology and their best supporting evidence Journal Article

In: Journal of the American College of Radiology, 17 (11), pp. 1371–1381, 2020.

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Tadavarthi, Yasasvi; Vey, Brianna; Krupinski, Elizabeth; Prater, Adam; Gichoya, Judy; Safdar, Nabile; Trivedi, Hari

The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings Journal Article

In: Radiology: Artificial Intelligence, 2 (6), pp. e200004, 2020.

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Sarkar, Rahuldeb; Martin, Christopher; Mattie, Heather; Gichoya, Judy Wawira; Stone, David J; Celi, Leo Anthony

Performance of intensive care unit severity scoring systems across different ethnicities Journal Article

In: Available at SSRN 3690931, 2020.

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Rubin, Daniel L; Banerjee, Imon

Systems and Methods for Generating Context-Aware Word Embeddings Miscellaneous

2020, (US Patent App. 16/810,719).

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2019

Trivedi, Hari M; Panahiazar, Maryam; Liang, April; Lituiev, Dmytro; Chang, Peter; Sohn, Jae Ho; Chen, Yunn-Yi; Franc, Benjamin L; Joe, Bonnie; Hadley, Dexter

Large scale semi-automated labeling of routine free-text clinical records for deep learning Journal Article

In: Journal of digital imaging, 32 (1), pp. 30–37, 2019.

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Ding, Yiming; Sohn, Jae Ho; Kawczynski, Michael G; Trivedi, Hari; Harnish, Roy; Jenkins, Nathaniel W; Lituiev, Dmytro; Copeland, Timothy P; Aboian, Mariam S; Aparici, Carina Mari; others,

A deep learning model to predict a diagnosis of Alzheimer disease by using 18F-FDG PET of the brain Journal Article

In: Radiology, 290 (2), pp. 456–464, 2019.

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Lituiev, Dmytro S; Trivedi, Hari; Panahiazar, Maryam; Norgeot, Beau; Seo, Youngho; Franc, Benjamin; Harnish, Roy; Kawczynski, Michael; Hadley, Dexter

Automatic labeling of special diagnostic mammography views from images and DICOM headers Journal Article

In: Journal of digital imaging, 32 (2), pp. 228–233, 2019.

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Gensheimer, Michael F; Henry, Solomon A; Wood, Douglas J; Hastie, Trevor J; Aggarwal, Sonya; Dudley, Sara A; Pradhan, Pooja; Banerjee, Imon; Cho, Eunpi; Ramchandran, Kavitha; others,

Automated survival prediction in metastatic cancer patients using high-dimensional electronic medical record data Journal Article

In: JNCI: Journal of the National Cancer Institute, 111 (6), pp. 568–574, 2019.

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Banerjee, Imon; Ling, Yuan; Chen, Matthew C; Hasan, Sadid A; Langlotz, Curtis P; Moradzadeh, Nathaniel; Chapman, Brian; Amrhein, Timothy; Mong, David; Rubin, Daniel L; others,

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification Journal Article

In: Artificial intelligence in medicine, 97 , pp. 79–88, 2019.

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Banerjee, Imon; Li, Kevin; Seneviratne, Martin; Ferrari, Michelle; Seto, Tina; Brooks, James D; Rubin, Daniel L; Hernandez-Boussard, Tina

Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment Journal Article

In: JAMIA open, 2 (1), pp. 150–159, 2019.

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Parthipan, Arjun; Banerjee, Imon; Humphreys, Keith; Asch, Steven M; Curtin, Catherine; Carroll, Ian; Hernandez-Boussard, Tina

Predicting inadequate postoperative pain management in depressed patients: a machine learning approach Journal Article

In: PloS one, 14 (2), pp. e0210575, 2019.

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Banerjee, Imon; Bozkurt, Selen; Alkim, Emel; Sagreiya, Hersh; Kurian, Allison W; Rubin, Daniel L

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings Journal Article

In: Journal of biomedical informatics, 92 , pp. 103137, 2019.

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Banerjee, Imon; de Sisternes, Luis; Hallak, Joelle; Leng, Theodore; Osborne, Aaron; Durbin, Mary; Rubin, Daniel

A deep-learning approach for prognosis of age-related macular degeneration disease using SD-OCT imaging biomarkers Journal Article

In: arXiv preprint arXiv:1902.10700, 2019.

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Jayaraj, Akshay; Banerjee, Imon; Sanyal, Arindam

Common-source amplifier based analog artificial neural network classifier Inproceedings

In: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, IEEE 2019.

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Huang, Jing-Zhi; Li, Xin; Saglam, Mehmet; Yu, Tong

Rainy Day Liquidity Journal Article

In: Available at SSRN 3387065, 2019.

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Bozkurt, Selen; Alkim, Emel; Banerjee, Imon; Rubin, Daniel L

Automated detection of measurements and their descriptors in radiology reports using a hybrid natural language processing algorithm Journal Article

In: Journal of digital imaging, 32 (4), pp. 544–553, 2019.

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Banerjee, Imon; Sofela, Miji; Yang, Jaden; Chen, Jonathan H; Shah, Nigam H; Ball, Robyn; Mushlin, Alvin I; Desai, Manisha; Bledsoe, Joseph; Amrhein, Timothy; others,

Development and performance of the pulmonary embolism result forecast model (PERFORM) for computed tomography clinical decision support Journal Article

In: JAMA network open, 2 (8), pp. e198719–e198719, 2019.

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Gori, Davide; Banerjee, Imon; Chung, Benjamin I; Ferrari, Michelle; Rucci, Paola; Blayney, Douglas W; Brooks, James D; Hernandez-Boussard, Tina

Extracting patient-centered outcomes from clinical notes in electronic health records: assessment of urinary incontinence after radical prostatectomy Journal Article

In: eGEMs, 7 (1), 2019.

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Banerjee, Imon; Bozkurt, Selen; Caswell-Jin, Jennifer Lee; Kurian, Allison W; Rubin, Daniel L

Natural language processing approaches to detect the timeline of metastatic recurrence of breast cancer Journal Article

In: JCO clinical cancer informatics, 3 , pp. 1–12, 2019.

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Banerjee, Imon; Paccini, Martina; Ferrari, Enrico; Catalano, Chiara Eva; Biasotti, Silvia; Spagnuolo, Michela

Feature-based Characterisation of Patient-specific 3D Anatomical Models. Inproceedings

In: STAG, pp. 41–50, 2019.

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Li, Ron C; Banerjee, Imon; Rubin, Daniel; Chen, Jonathan H

Detecting unanticipated actions downstream from clinical decision support: a data mining approach. Inproceedings

In: AMIA, 2019.

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Banerjee, Imon; Sofela, Miji; Amrhein, Timothy; Rubin, Daniel L; Zamanian, Roham; Lungren, Matthew P

Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. Inproceedings

In: AMIA, 2019.

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Purkayastha, Saptarshi; Allam, Roshini; Maity, Pallavi; Gichoya, Judy W

Comparison of open-source electronic health record systems based on functional and user performance criteria Journal Article

In: Healthcare informatics research, 25 (2), pp. 89, 2019.

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Purkayastha, Saptarshi; Surapaneni, Asha K; Maity, Pallavi; Rajapuri, Anushri S; Gichoya, Judy W

Critical Components of Formative Assessment in Process-Oriented Guided Inquiry Learning for Online Labs. Journal Article

In: Electronic Journal of e-Learning, 17 (2), pp. 79–92, 2019.

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Purkayastha, Saptarshi; Buddi, Surendra Babu; Nuthakki, Siddhartha; Yadav, Bhawana; Gichoya, Judy W

Evaluating the implementation of deep learning in librehealth radiology on chest x-rays Inproceedings

In: Science and Information Conference, pp. 648–657, Springer, Cham 2019.

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Makeeva, Valeria; Gichoya, Judy; Hawkins, Matthew C; Towbin, Alexander J; Heilbrun, Marta; Prater, Adam

The application of machine learning to quality improvement through the lens of the radiology value network Journal Article

In: Journal of the American College of Radiology, 16 (9), pp. 1254–1258, 2019.

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Vey, Brianna L; Gichoya, Judy W; Prater, Adam; Hawkins, Matthew C

The role of generative adversarial networks in radiation reduction and artifact correction in medical imaging Journal Article

In: Journal of the American College of Radiology, 16 (9), pp. 1273–1278, 2019.

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Sinha, Priyanshu; Purkayastha, Saptarshi; Gichoya, Judy

Full training versus fine tuning for radiology images concept detection task for the imageclef 2019 challenge Journal Article

In: 2019.

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Meek, Ryan D; Lungren, Matthew P; Gichoya, Judy W

Machine learning for the interventional radiologist Journal Article

In: American Journal of Roentgenology, 213 (4), pp. 782–784, 2019.

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Sims, Jonathan; Gichoya, Judy; Bhardwaj, Gaurab; Bogers, Marcel

Write code, save lives: how a community uses open innovation to address a societal challenge Journal Article

In: R&D Management, 49 (3), pp. 369–382, 2019.

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Geis, Raymond J; Brady, Adrian P; Wu, Carol C; Spencer, Jack; Ranschaert, Erik; Jaremko, Jacob L; Langer, Steve G; Kitts, Andrea Borondy; Birch, Judy; Shields, William F; others,

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement Journal Article

In: Canadian Association of Radiologists Journal, 70 (4), pp. 329–334, 2019.

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Nuthakki, Siddhartha; Neela, Sunil; Gichoya, Judy W; Purkayastha, Saptarshi

Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks Journal Article

In: arXiv preprint arXiv:1912.12397, 2019.

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McCoy, Liam; Burkell, Jacquelyn; Card, Dallas; Davis, Brent; Gichoya, Judy; LePage, Sophie; Madras, David

On Meaningful Human Control in High-Stakes Machine-Human Partnerships Journal Article

In: 2019.

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Shafa, Justin; Kee, Stephen T

Learning Interventional Radiology eBook Miscellaneous

2019.

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2018

Trivedi, Hari; Mesterhazy, Joseph; Laguna, Benjamin; Vu, Thienkhai; Sohn, Jae Ho

Automatic determination of the need for intravenous contrast in musculoskeletal MRI examinations using IBM Watson’s natural language processing algorithm Journal Article

In: Journal of digital imaging, 31 (2), pp. 245–251, 2018.

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Banerjee, Imon; Crawley, Alexis; Bhethanabotla, Mythili; Daldrup-Link, Heike E; Rubin, Daniel L

Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma Journal Article

In: Computerized Medical Imaging and Graphics, 65 , pp. 167–175, 2018.

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Gupta, Anupama; Banerjee, Imon; Rubin, Daniel L

Automatic information extraction from unstructured mammography reports using distributed semantics Journal Article

In: Journal of biomedical informatics, 78 , pp. 78–86, 2018.

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Piening, Brian D; Zhou, Wenyu; Contrepois, Kévin; Röst, Hannes; Urban, Gucci Jijuan Gu; Mishra, Tejaswini; Hanson, Blake M; Bautista, Eddy J; Leopold, Shana; Yeh, Christine Y; others,

Integrative personal omics profiles during periods of weight gain and loss Journal Article

In: Cell systems, 6 (2), pp. 157–170, 2018.

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Agibetov, Asan; Jiménez-Ruiz, Ernesto; Ondrésik, Marta; Solimando, Alessandro; Banerjee, Imon; Guerrini, Giovanna; Catalano, Chiara E; Oliveira, Joaquim M; Patan`e, Giuseppe; Reis, Rui L; others,

Supporting shared hypothesis testing in the biomedical domain Journal Article

In: Journal of biomedical semantics, 9 (1), pp. 1–22, 2018.

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Banerjee, Imon; Choi, Hailye H; Desser, Terry; Rubin, Daniel L

A scalable machine learning approach for inferring probabilistic US-LI-RADS categorization Inproceedings

In: AMIA Annual Symposium Proceedings, pp. 215, American Medical Informatics Association 2018.

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Banerjee, Imon; Kurtz, Camille; Devorah, Alon Edward; Do, Bao; Rubin, Daniel L; Beaulieu, Christopher F

Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs Journal Article

In: Journal of biomedical informatics, 84 , pp. 123–135, 2018.

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Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J; Henry, Solomon; Aggarwal, Sonya; Chang, Daniel T; Rubin, Daniel L

Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives Inproceedings

In: AMIA informatics Summit, 2018.

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Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J; Henry, Solomon; Aggarwal, Sonya; Chang, Daniel T; Rubin, Daniel L

Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives Journal Article

In: Scientific Reports, 8 (10037 (2018)), 2018.

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Jayaraj, Akshay; Chandrasekaran, Sanjeev Tannirkulam; Ganesh, Archana; Banerjee, Imon; Sanyal, Arindam

Maximum likelihood estimation-based SAR ADC Journal Article

In: IEEE Transactions on Circuits and Systems II: Express Briefs, 66 (8), pp. 1311–1315, 2018.

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Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J; Henry, Solomon; Chang, Daniel; Rubin, Daniel L

Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients Journal Article

In: arXiv preprint arXiv:1801.03058, 2018.

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Banerjee, Imon; Mullick, Sankha Subhra; Das, Swagatam

On Convergence of the Class Membership Estimator in Fuzzy $ k $-Nearest Neighbor Classifier Journal Article

In: IEEE Transactions on Fuzzy Systems, 27 (6), pp. 1226–1236, 2018.

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Gichoya, Judy W; Nuthakki, Siddhartha; Maity, Pallavi G; Purkayastha, Saptarshi

Phronesis of AI in radiology: Superhuman meets natural stupidity Journal Article

In: arXiv preprint arXiv:1803.11244, 2018.

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Gichoya, Judy W; Kohli, Marc; Ivange, Larry; Schmidt, Teri S; Purkayastha, Saptarshi

A platform for innovation and standards evaluation: a case study from the OpenMRS open-source radiology information system Journal Article

In: Journal of digital imaging, 31 (3), pp. 361–370, 2018.

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161 entries « 2 of 4 »