Visual Target Tracking using Improved and Computationally Efficient Particle Filtering. - Yan Zhai; Mark B. Yeary; Jean-Charles Noyer; Joseph P. Havlicek; Shamim Nemati; Patrick Lanvin (ICIP, 2006)

Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach. - Mark Yeary; Shamim Nemati; Tian-You Yu; Yadong Wang (IEEE Geosci. Remote. Sens. Lett., 2007)

A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications. - Mark B. Yeary; Shamim Nemati; Tian-You Yu; Yadong Wang; Yan Zhai (IEEE Trans. Instrum. Meas., 2009)

Data Fusion for Improved Respiration Rate Estimation. - Shamim Nemati; Atul Malhotra; Gari D. Clifford (EURASIP J. Adv. Signal Process., 2010)

A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection. - Shamim Nemati; Omar Abdala; Violeta Monasterio; Susie Yim-Yeh; Atul Malhotra; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2011)

Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. - Li-Wei H. Lehman; Shamim Nemati; Ryan P. Adams; Roger G. Mark (EMBC, 2012)

Discovering shared cardiovascular dynamics within a patient cohort. - Shamim Nemati; Li-Wei H. Lehman; Ryan P. Adams; Atul Malhotra (EMBC, 2012)

Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. - Li-Wei H. Lehman; Shamim Nemati; Ryan P. Adams; George B. Moody; Atul Malhotra; Roger G. Mark (EMBC, 2013)

Learning outcome-discriminative dynamics in multivariate physiological cohort time series. - Shamim Nemati; Li-Wei H. Lehman; Ryan P. Adams (EMBC, 2013)

Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems. - Shamim Nemati (2013)

A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. - Shamim Nemati; Mohammad M. Ghassemi (IEEE BigData, 2014)

Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. - Mohammad M. Ghassemi; Li-Wei H. Lehman; Jasper Snoek; Shamim Nemati (CinC, 2014)

Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. - Li-Wei H. Lehman; Shamim Nemati; George B. Moody; Thomas Heldt; Roger G. Mark (CinC, 2014)

A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. - Mohammad Mahdi Ghassemi; Roger G. Mark; Shamim Nemati (CinC, 2015)

Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. - Li-Wei H. Lehman; Mohammad M. Ghassemi; Jasper Snoek; Shamim Nemati (CinC, 2015)

Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. - Li-Wei H. Lehman; Shamim Nemati; Roger G. Mark (CinC, 2015)

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. - Julien Oster; Joachim Behar; Omid Sayadi; Shamim Nemati; Alistair E. W. Johnson; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2015)

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. - Li-Wei H. Lehman; Ryan P. Adams; Louis Mayaud; George B. Moody; Atul Malhotra; Roger G. Mark; Shamim Nemati (IEEE J. Biomed. Health Informatics, 2015)

Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression. - Sahar Harati; Andrea Crowell; Helen S. Mayberg; Jun Kong; Shamim Nemati (EMBC, 2016)

Monitoring and detecting atrial fibrillation using wearable technology. - Shamim Nemati; Mohammad M. Ghassemi; Vaidehi Ambai; Nino Isakadze; Oleksiy Levantsevych; Amit J. Shah; Gari D. Clifford (EMBC, 2016)

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. - Shamim Nemati; Mohammad M. Ghassemi; Gari D. Clifford (EMBC, 2016)

ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (CoRR, 2016)

Machine Learning and Decision Support in Critical Care. - Alistair E. W. Johnson; Mohammad M. Ghassemi; Shamim Nemati; Katherine E. Niehaus; David A. Clifton; Gari D. Clifford (Proc. IEEE, 2016)

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. - Supreeth Prajwal Shashikumar; Amit J. Shah; Qiao Li 011; Gari D. Clifford; Shamim Nemati (BHI, 2017)

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (ICDE, 2017)

The Training of Next Generation Data Scientists in Biomedicine. - Lana X. Garmire; Stephen V. Gliske; Quynh C. Nguyen; Jonathan H. Chen; Shamim Nemati; John D. Van Horn; Jason H. Moore; Carol Shreffler; Michelle Dunn (PSB, 2017)

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. - Hongteng Xu; Weichang Wu; Shamim Nemati; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2017)

Personalized Medication Dosing Using Volatile Data Streams. - Mohammad M. Ghassemi; Tuka Al Hanai; M. Brandon Westover; Roger G. Mark; Shamim Nemati (AAAI Workshops, 2018)

DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. - Sapoonjyoti Duttaduwarah; Ganesh R. Iyer; Shamim Nemati; Ashish Sharma 001 (AMIA, 2018)

How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. - Mohammad M. Ghassemi; Tuka Al Hanai; Jesse Daniel Raffa; Roger G. Mark; Shamim Nemati; Falgun H. Chokshi (EMBC, 2018)

Depression Severity Classification from Speech Emotion. - Sahar Harati; Andrea Crowell; Helen S. Mayberg; Shamim Nemati (EMBC, 2018)

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. - Joel R. Henry; Dennis Lynch; Jeff Mals; Supreeth P. Shashikumar; Andre L. Holder; Ashish Sharma 001; Shamim Nemati (EMBC, 2018)

A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. - Rongmei Lin; Matthew D. Stanley; Mohammad M. Ghassemi; Shamim Nemati (EMBC, 2018)

Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments. - Azade Tabaie; Falgun H. Chokshi; Andre L. Holder; Shamim Nemati (EMBC, 2018)

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. - Supreeth Prajwal Shashikumar; Amit J. Shah; Gari D. Clifford; Shamim Nemati (KDD, 2018)

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. - Li-Wei H. Lehman; Roger G. Mark; Shamim Nemati (IEEE J. Biomed. Health Informatics, 2018)

Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients. - Azade Tabaie; Shamim Nemati; Jason Allen; Charlotte Chung; Flavia Queiroga; Won-Jun Kuk; Adam Prater (AMIA, 2019)

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. - Matthew A. Reyna; Christopher Josef; Salman Seyedi; Russell Jeter; Supreeth P. Shashikumar; M. Brandon Westover; Ashish Sharma 001; Shamim Nemati; Gari D. Clifford (CinC, 2019)

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? - Russell J. Bradford; Christopher J. Sangwin; Supreeth P. Shashikumar; Shamim Nemati (CoRR, 2019)

DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (CoRR, 2019)

Reinforcement Learning in Healthcare: A Survey. - Chao Yu 004; Jiming Liu 001; Shamim Nemati (CoRR, 2019)

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. - Fatemeh Amrollahi; Supreeth P. Shashikumar; Fereshteh Razmi; Shamim Nemati (AMIA, 2020)

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Pradeeban Kathiravelu; Ashish Sharma 001; Shamim Nemati (EMBC, 2020)

Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data. - Sally L. Baxter; Adam R. Klie; Bharanidharan Radha Saseendrakumar; Gordon Y. Ye; Michael A. Hogarth; Shamim Nemati (EMBC, 2020)

Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal DifferenceLearning. - Sahar Harati; Andrea Crowell; Helen S. Mayberg; Shamim Nemati (PSB, 2020)

Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features. - Sahar Harati; Andrea Crowell; Yijian Huang; Helen S. Mayberg; Shamim Nemati (IEEE J. Biomed. Health Informatics, 2020)

DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. - Supreeth P. Shashikumar; Christopher Josef; Ashish Sharma 001; Shamim Nemati (Artif. Intell. Medicine, 2021)

Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. - Azade Tabaie; Evan W. Orenstein; Shamim Nemati; Rajit K. Basu; Swaminathan Kandaswamy; Gari D. Clifford; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 2021)

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. - Salman Seyedi; Li Xiong 001; Shamim Nemati; Gari D. Clifford (CoRR, 2021)

Artificial intelligence sepsis prediction algorithm learns to say "I don't know". - Supreeth P. Shashikumar; Gabriel Wardi; Atul Malhotra; Shamim Nemati (npj Digit. Medicine, 2021)

Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions. - Zifan Jiang; Sahar Harati; Andrea Crowell; Helen S. Mayberg; Shamim Nemati; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2021)

Identifying Diagnostic Opportunities Using Clinical Trajectories. - Jejo D. Koola; David Laub; Shamim Nemati; Robert El-Kareh (AMIA, 2022)

Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. - Jonathan Y. Lam; Andrew Richardson; Adriana H. Tremoulet; John Kanegaye; Chisato Shimizu; Nicole Stadnick; Jane C. Burns; Shamim Nemati; Michael A. Gardiner (AMIA, 2022)

A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. - Archil K. Srivastava; Supreeth P. Shashikumar; Shamim Nemati (AMIA, 2022)

Inclusion of social determinants of health improves sepsis readmission prediction models. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Angela Meier; Lucila Ohno-Machado; Shamim Nemati; Gabriel Wardi (J. Am. Medical Informatics Assoc., 2022)

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. - Fatemeh Amrollahi; Supreeth Prajwal Shashikumar; Aaron Boussina; Haben Yhdego; Arshia Nayebnazar; Nathan Yung; Gabriel Wardi; Shamim Nemati (EMBC, 2023)

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. - Aaron Boussina; Supreeth P. Shashikumar; Fatemeh Amrollahi; Hayden Pour; Michael A. Hogarth; Shamim Nemati (EMBC, 2023)

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease. - Jonathan Y. Lam; John T. Kanegaye; Ellen Xu; Michael A. Gardiner; Jane C. Burns; Shamim Nemati; Adriana H. Tremoulet (EMBC, 2023)

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. - Supreeth P. Shashikumar; Fatemeh Amrollahi; Shamim Nemati (EMBC, 2023)

Reinforcement Learning in Healthcare: A Survey. - Chao Yu 004; Jiming Liu 001; Shamim Nemati; Guosheng Yin (ACM Comput. Surv., 2023)

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. - Anwesh Mohanty; Supreeth P. Shashikumar; Jonathan Y. Lam; Shamim Nemati (EMBC, 2024)

Development of a Voice-Enabled Automated Sleep Survey System. - Yang Qiu; Anwesh Mohanty; Robert L. Owens; Shamim Nemati (EMBC, 2024)

Benchmarking changepoint detection algorithms on cardiac time series. - Ayse S. Cakmak; Erik Reinertsen; Shamim Nemati; Gari D. Clifford (CoRR, 2024)

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction. - Vishal Nagarajan; Supreeth Prajwal Shashikumar; Atul Malhotra; Shamim Nemati; Gabriel Wardi (J. Am. Medical Informatics Assoc., 2024)

Impact of a deep learning sepsis prediction model on quality of care and survival. - Aaron Boussina; Supreeth P. Shashikumar; Atul Malhotra; Robert L. Owens; Robert El-Kareh; Christopher A. Longhurst; Kimberly Quintero; Allison Donahue; Theodore C. Chan; Shamim Nemati; Gabriel Wardi (npj Digit. Medicine, 2024)

Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. - Aaron Boussina; Supreeth P. Shashikumar; Atul Malhotra; Robert L. Owens; Robert El-Kareh; Christopher A. Longhurst; Kimberly Quintero; Allison Donahue; Theodore C. Chan; Shamim Nemati; Gabriel Wardi (npj Digit. Medicine, 2024)

Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation. - Ye Sel Lee; Xiaolei Lu; Michael Miller; Jonathan Y. Lam; Supreeth P. Shashikumar; Shamim Nemati (ISBI, 2025)

Development and prospective implementation of a large language model based system for early sepsis prediction. - Supreeth P. Shashikumar; Sina Mohammadi; Rishivardhan Krishnamoorthy; Avi Patel; Gabriel Wardi; Joseph C. Ahn; Karandeep Singh; Eliah Aronoff Spencer; Shamim Nemati (npj Digit. Medicine, 2025)