Benjamin Shickel

46 papers C 2Misc 1Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications. CoRR Yuanfang Ren, Varun Sai Vemuri, Zhenhong Hu, Benjamin Shickel, Ziyuan Guan, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2025	J	`jnl`	Equipping mathematical models for hospital dynamics using information theory. npj Digit. Medicine Jeremy A. Balch, Jackson G. Brandberg, Robert T. Andris, Ian G. Mesner, Daniel Nametz, Murad Megjhani, Matthew M. Ruppert, Die Hu, Matthew T. Clark, Benjamin Shickel, Benjamin L. Ranard, John B. Delos, David J. Albers, Tyler J. Loftus, Soojin Park, J. Randall Moorman
2025	J	`jnl`	Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. CoRR Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, Han Li, Tyler J. Loftus, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Karandeep Singh, Ruogu Fang, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
2025	J	`jnl`	Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach. CoRR Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora, Benjamin Shickel
2025	—	`conf`	Uncertainty-Aware Prediction of Parkinson’s Disease Medication Needs: A Two-Stage Conformal Prediction Approach. MLHC Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora, Benjamin Shickel
2025	J	`jnl`	Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust. CoRR Yuanfang Ren, Esra Adiyeke, Ziyuan Guan, Zhenhong Hu, Mackenzie J. Meni, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2024	J	`jnl`	A multi-cohort study on prediction of acute brain dysfunction states using selective state space models. CoRR Brandon Silva, Miguel Contreras, Sabyasachi Bandyopadhyay, Yuanfang Ren, Ziyuan Guan, Jeremy A. Balch, Kia Khezeli, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Azra Bihorac, Parisa Rashidi
2024	J	`jnl`	Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study. CoRR Esra Adiyeke, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Ziyuan Guan, Sandra L. Kane-Gill, Raghavan Murugan, Nabihah Amatullah, Britney A. Stottlemyer, Tiffany L. Tran, Dan Ricketts, Christopher M. Horvat, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
2024	J	`jnl`	CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention. CoRR Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman, Amarjeet Kumar, Chelsea Viscardi, Robert Evans Heithaus, Benjamin Shickel, Yuyin Zhou, Michol A. Cooper, Wei Shao
2024	J	`jnl`	CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention. Comput. Medical Imaging Graph. Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman, Amarjeet Kumar, Chelsea Viscardi, Robert Evans Heithaus, Benjamin Shickel, Yuyin Zhou, Michol A. Cooper, Wei Shao
2024	J	`jnl`	Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu
2024	J	`jnl`	Federated learning model for predicting major postoperative complications. CoRR Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2024	J	`jnl`	Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. CoRR Yingbo Ma, Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
2024	J	`jnl`	Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor. Frontiers Artif. Intell. Jeremy A. Balch, A. Hayes Chatham, Philip K. W. Hong, Lauren Manganiello, Naveen Baskaran, Azra Bihorac, Benjamin Shickel, Ray E. Moseley, Tyler J. Loftus
2024	J	`jnl`	Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. CoRR Yingbo Ma, Yukyeong Song, Jeremy A. Balch, Yuanfang Ren, Divya Vellanki, Zhenhong Hu, Meghan Brennan, Suraj Kolla, Ziyuan Guan, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Tyler J. Loftus, Azra Bihorac, Benjamin Shickel
2024	J	`jnl`	Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. CoRR Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
2024	J	`jnl`	Transformers and large language models in healthcare: A review. Artif. Intell. Medicine Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi
2024	J	`jnl`	Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. CoRR Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan, Ruilin Zhu, Victoria Hougha, Yingbo Ma, Zhenhong Hu, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2023	J	`jnl`	APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies. CoRR Miguel Contreras, Brandon Silva, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Sabyasachi Bandyopadhyay, Kia Khezeli, Azra Bihorac, Parisa Rashidi
2023	J	`jnl`	Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR Yuanfang Ren, Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel, Katharina Busl, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
2023	—	`conf`	Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. BHI Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Kia Khezeli, Azra Bihorac, Parisa Rashidi
2023	J	`jnl`	Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2023	—	`conf`	Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images. Digital and Computational Pathology Benjamin Shickel, Nicholas J. Lucarelli, Adish Rao, Donghwan Yun, Kyung Chul Moon, Seung Seok Han, Pinaki Sarder
2023	J	`jnl`	The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). CoRR Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi
2023	J	`jnl`	Transformers in Healthcare: A Survey. CoRR Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi
2022	J	`jnl`	Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli
2022	J	`jnl`	Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2022	J	`jnl`	Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. Tyler J. Loftus, Benjamin Shickel, Jeremy A. Balch, Patrick James Tighe, Kenneth L. Abbott, Brian Fazzone, Erik M. Anderson, Jared Rozowsky, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Scott A. Berceli, William R. Hogan, Philip A. Efron, J. Randall Moorman, Parisa Rashidi, Gilbert R. Upchurch Jr., Azra Bihorac
2022	J	`jnl`	Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. Frontiers Digit. Health Anis Davoudi, Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2021	J	`jnl`	Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. Frontiers Digit. Health Benjamin Shickel, Anis Davoudi, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, Azra Bihorac, Parisa Rashidi
2021	J	`jnl`	Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2020	C	`conf`	Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. BIBE Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi
2020	C	`conf`	Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. BIBE Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi
2020	J	`jnl`	Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
2020	J	`jnl`	Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. CoRR Benjamin Shickel, Parisa Rashidi
2019	J	`jnl`	Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
2019	J	`jnl`	Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. CoRR Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi
2018	J	`jnl`	Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. IEEE J. Biomed. Health Informatics Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2018	J	`jnl`	DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
2018	J	`jnl`	The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2017	J	`jnl`	Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
2017	J	`jnl`	Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. CoRR Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi
2016	Misc	`conf`	ART: An Availability-Aware Active Learning Framework for Data Streams. FLAIRS Benjamin Shickel, Parisa Rashidi
2016	—	`conf`	Automatic Triage of Mental Health Forum Posts. CLPsych@HLT-NAACL Benjamin Shickel, Parisa Rashidi
2016	—	`conf`	Deep neural network architectures for forecasting analgesic response. EMBC Paul Nickerson, Patrick James Tighe, Benjamin Shickel, Parisa Rashidi
2016	—	`conf`	Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi