Maryam Pishgar

33 papers A 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Multi-Task Teacher-Student Architecture With Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. IEEE J. Biomed. Health Informatics Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. CoRR Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care. CoRR Junyi Fan, Li Sun, Negin Ashrafi, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach. CoRR Li Sun, Shuheng Chen, Yong Si, Junyi Fan, Maryam Pishgar, Elham Pishgar, Kamiar Alaei, Greg Placencia
2025	J	`jnl`	Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia. CoRR Junyi Fan, Shuheng Chen, Li Sun, Yong Si, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	A	`conf`	Dynamic Token Selective Transformer for Aerial-Ground Person Re-Identification. ICME Yuhai Wang, Maryam Pishgar
2025	J	`jnl`	Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning. CoRR Yong Si, Junyi Fan, Li Sun, Shuheng Chen, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study. CoRR Li Sun, Shuheng Chen, Junyi Fan, Yong Si, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA. CoRR Houji Jin, Negin Ashrafi, Armin Abdollahi, Wei Liu, Jian Wang, Ganyu Gui, Maryam Pishgar, Huanghao Feng
2025	J	`jnl`	Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease. CoRR Haonan Pan, Shuheng Chen, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. CoRR Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. BMC Medical Informatics Decis. Mak. Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards. CoRR Li Sun, Negin Ashrafi, Maryam Pishgar
2025	J	`jnl`	Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data. CoRR Tinghuan Li, Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2025	J	`jnl`	Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost. CoRR Junyi Fan, Li Sun, Shuheng Chen, Yong Si, Minoo Ahmadi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar
2025	J	`jnl`	XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database. CoRR Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar
2024	J	`jnl`	Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality. CoRR Arseniy Shumilov, Yueting Zhu, Negin Ashrafi, Gaojie Lian, Shilong Ren, Maryam Pishgar
2024	J	`jnl`	Dynamic Token Selection for Aerial-Ground Person Re-Identification. CoRR Yuhai Wang, Maryam Pishgar
2024	J	`jnl`	Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes. CoRR Negin Ashrafi, Armin Abdollahi, Greg Placencia, Maryam Pishgar
2024	J	`jnl`	Enhanced Mortality Prediction in ICU Stroke Patients via Deep Learning. CoRR Armin Abdollahi, Xinghong Ma, Jiahao Zhang, Daijia Wu, Tongshou Wu, Zizheng Ye, Maryam Pishgar
2024	J	`jnl`	Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques. CoRR Negin Ashrafi, Armin Abdollahi, Maryam Pishgar
2024	J	`jnl`	Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems. CoRR Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi
2024	J	`jnl`	Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database. CoRR Negin Ashrafi, Armin Abdollahi, Jiahong Zhang, Maryam Pishgar
2024	J	`jnl`	Prediction of 30-day mortality for ICU patients with Sepsis-3. BMC Medical Informatics Decis. Mak. Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar
2024	J	`jnl`	Prediction of sepsis mortality in ICU patients using machine learning methods. BMC Medical Informatics Decis. Mak. Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar
2024	J	`jnl`	Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database. CoRR Aleyeh Roknaldin, Zehao Zhang, Jiayuan Xu, Kamiar Alaei, Maryam Pishgar
2022	J	`jnl`	A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. BMC Medical Informatics Decis. Mak. Maryam Pishgar, Samuel Harford, Julian Theis, William L. Galanter, Jorge Mario Rodríguez-Fernández, L. H. Chaisson, Y. Zhang, A. Trotter, Karl M. Kochendorfer, A. Boppana, Houshang Darabi
2022	J	`jnl`	Improving Process Discovery Algorithms Using Event Concatenation. IEEE Access Maryam Pishgar, Martha Razo, Houshang Darabi
2022	J	`jnl`	Prediction of unplanned 30-day readmission for ICU patients with heart failure. BMC Medical Informatics Decis. Mak. Maryam Pishgar, Julian Theis, Marina Del Rios, Amer Ardati, H. Anahideh, Houshang Darabi
2021	J	`jnl`	Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models. BMC Medical Informatics Decis. Mak. William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi
2021	J	`jnl`	Process Mining Model to Predict Mortality in Paralytic Ileus Patients. CoRR Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi
2018	—	`conf`	Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. IEEE BigData Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi
2018	J	`jnl`	Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. CoRR Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi