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ORCIDMaryam Pishgar
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2020 – today
- 2025
[j7]Yong Si, Armin Abdollahi
, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. BMC Medical Informatics Decis. Mak. 25(1): 276 (2025)- [c2]Yuhai Wang, Maryam Pishgar:
Dynamic Token Selective Transformer for Aerial-Ground Person Re-Identification. ICME 2025: 1-6 - [i23]Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. CoRR abs/2501.01183 (2025) - [i22]Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar:
A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. CoRR abs/2502.16834 (2025) - [i21]Li Sun, Negin Ashrafi, Maryam Pishgar:
Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards. CoRR abs/2502.17054 (2025) - [i20]Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database. CoRR abs/2502.17978 (2025) - [i19]Haonan Pan, Shuheng Chen, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease. CoRR abs/2503.11973 (2025) - [i18]Junyi Fan, Shuheng Chen, Li Sun, Yong Si, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia. CoRR abs/2505.18421 (2025) - [i17]Tinghuan Li, Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data. CoRR abs/2506.03209 (2025) - [i16]Li Sun, Shuheng Chen, Yong Si, Junyi Fan, Maryam Pishgar, Elham Pishgar, Kamiar Alaei, Greg Placencia:
Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach. CoRR abs/2506.15901 (2025) - [i15]Yong Si, Junyi Fan, Li Sun, Shuheng Chen, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning. CoRR abs/2507.18866 (2025) - [i14]Junyi Fan, Li Sun, Shuheng Chen, Yong Si, Minoo Ahmadi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost. CoRR abs/2507.23043 (2025) - [i13]Li Sun, Shuheng Chen, Junyi Fan, Yong Si, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study. CoRR abs/2508.10233 (2025) - [i12]Houji Jin, Negin Ashrafi, Armin Abdollahi, Wei Liu, Jian Wang, Ganyu Gui, Maryam Pishgar, Huanghao Feng:
LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA. CoRR abs/2509.00731 (2025) - [i11]Junyi Fan, Li Sun, Negin Ashrafi, Kamiar Alaei, Maryam Pishgar:
Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care. CoRR abs/2510.05410 (2025) - 2024
- [j6]Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar:
Prediction of 30-day mortality for ICU patients with Sepsis-3. BMC Medical Informatics Decis. Mak. 24(1): 223 (2024) - [j5]Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar:
Prediction of sepsis mortality in ICU patients using machine learning methods. BMC Medical Informatics Decis. Mak. 24(1): 228 (2024) - [i10]Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi:
Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems. CoRR abs/2403.10596 (2024) - [i9]Negin Ashrafi, Armin Abdollahi, Greg Placencia, Maryam Pishgar:
Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes. CoRR abs/2407.02821 (2024) - [i8]Armin Abdollahi, Xinghong Ma, Jiahao Zhang, Daijia Wu, Tongshou Wu, Zizheng Ye, Maryam Pishgar:
Enhanced Mortality Prediction in ICU Stroke Patients via Deep Learning. CoRR abs/2407.14211 (2024) - [i7]Negin Ashrafi, Armin Abdollahi, Maryam Pishgar:
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques. CoRR abs/2408.01144 (2024) - [i6]Arseniy Shumilov, Yueting Zhu, Negin Ashrafi, Gaojie Lian, Shilong Ren, Maryam Pishgar:
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality. CoRR abs/2408.01612 (2024) - [i5]Negin Ashrafi, Armin Abdollahi, Jiahong Zhang, Maryam Pishgar:
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database. CoRR abs/2409.01685 (2024) - [i4]Yuhai Wang, Maryam Pishgar:
Dynamic Token Selection for Aerial-Ground Person Re-Identification. CoRR abs/2412.00433 (2024) - [i3]Aleyeh Roknaldin, Zehao Zhang, Jiayuan Xu, Kamiar Alaei, Maryam Pishgar:
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database. CoRR abs/2412.03737 (2024) - 2022
- [j4]Maryam Pishgar, Martha Razo, Houshang Darabi:
Improving Process Discovery Algorithms Using Event Concatenation. IEEE Access 10: 69072-69090 (2022) - [j3]Maryam Pishgar, Julian Theis, Marina Del Rios, Amer Ardati, H. Anahideh, Houshang Darabi:
Prediction of unplanned 30-day readmission for ICU patients with heart failure. BMC Medical Informatics Decis. Mak. 22(1): 117 (2022) - [j2]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:
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. BMC Medical Informatics Decis. Mak. 22(1): 194 (2022) - 2021
- [j1]William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi:
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models. BMC Medical Informatics Decis. Mak. 21(1): 224 (2021) - [i2]Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi:
Process Mining Model to Predict Mortality in Paralytic Ileus Patients. CoRR abs/2108.01267 (2021)
2010 – 2019
- 2018
- [c1]Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi:
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. IEEE BigData 2018: 5267-5271 - [i1]Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi:
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. CoRR abs/1812.07729 (2018)
Coauthor Index
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