Kayvan Najarian - Publications, H-index & Citations

Kayvan Najarian

university of michigan

40H指数

448论文数

7.0K被引数

收录论文 72

发表时间

A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery 一种新颖的可解释机器学习模型预测先天性心脏病术后呋塞米给药剂量

Pediatric Cardiology

IF1.4

2026-01-01

OAAI

Ehrmann, Daniel E.; Hodgman, Matthew W.; Wittrup, Emily M.; Charpie, John R.; Owens, Gabe E.; Aiyagari, Ranjit; Najarian, Kayvan

LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation 基于LoRA的方法在Unet上用于动脉瘤性蛛网膜下腔出血分割的迁移学习

BMC Medical Imaging

IF3.2

2025-12-26

OAAI

Cristian Minoccheri; Matthew Hodgman; Haoyuan Ma; Rameez Merchant; Emily Wittrup; Craig Williamson; Kayvan Najarian

The legacy and future of recurrent neural networks in personalized medicine: A reflection on the 2024 Nobel Physics Prize 循环神经网络在个性化医学中的遗产与未来：对2024年诺贝尔物理学奖的反思

Biomedical Journal

IF4.4

2025-12-13

OAAI

Emily Wittrup; Alan Kay; Jett Rosen; Kuan-Fu Chen; Kayvan Najarian

Artificial Intelligence for Quantifying Endoscopic Mucosal Ulceration in Crohn’s Disease 人工智能在克罗恩病内镜黏膜溃疡量化中的应用

Clinical Gastroenterology and Hepatology

IF12

2025-08-18

PREAI

Lingrui Cai; Emily Wittrup; Cristian Minoccheri; Tadd Hiatt; Michael Rice; Shrinivas Bishu; Aleksandar Stojmirovic; Louis R. Ghanem; Kayvan Najarian; Ryan W. Stidham

EvolveFNN: An Interpretable Framework for Early Detection Using Longitudinal Electronic Health Record Data 演化FNN：一种用于早期检测的长纵向电子健康记录数据可解释框架

IEEE Journal of Biomedical and Health Informatics

IF6.8

2025-07-01

OAAI

Yufeng Zhang; Emily Wittrup; Matthew Hodgman; Michael Mathis; Kayvan Najarian

Electrical heart failure treatment in the Goldilocks zone: cardiac contractility modulation proves equally effective for heart failure control in HFrEF patients with mid-range QRS durations

EUROPEAN HEART JOURNAL

IF35.6

2024-10-28

PREAI

Fastner, C.; Varma, N.; Rao, I; Falk, P.; Remppis, B. A.; Cranke, G.; Najarian, K.; Kane, T.; Burkhoff, D.; Akin, I; Kuschyk, J.

Learning using privileged information with logistic regression on acute respiratory distress syndrome detection

ARTIFICIAL INTELLIGENCE IN MEDICINE

IF6.2

2024-10-01

OAAI

Gao, Zijun; Cheng, Shuyang; Wittrup, Emily; Gryak, Jonathan; Najarian, Kayvan

Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?机器学习能否克服95% 失败率和只有30% 批准的癌症药物才能有意义地延长患者生存期的现实？

JOURNAL OF MEDICINAL CHEMISTRY

IF6.8

2024-09-10

PREAI

Sun, Duxin; Macedonia, Christian; Chen, Zhigang; Chandrasekaran, Sriram; Najarian, Kayvan; Zhou, Simon; Cernak, Tim; Ellingrod, Vicki L.; Jagadish, H. V.; Marini, Bernard; Pai, Manjunath; Violi, Angela; Rech, Jason C.; Wang, Shaomeng; Li, Yan; Athey, Brian; Omenn, Gilbert S.

A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction

DIAGNOSTICS

IF3.3

2024-08-10

OAAI

Hodgman, Matthew; Minoccheri, Cristian; Mathis, Michael; Wittrup, Emily; Najarian, Kayvan

Continuous sepsis trajectory prediction using tensor-reduced physiological signals

SCIENTIFIC REPORTS

IF3.9

2024-08-06

OAAI

Alge, Olivia P.; Pickard, Joshua; Zhang, Winston; Cheng, Shuyang; Derksen, Harm; Omenn, Gilbert S.; Gryak, Jonathan; Vanepps, J. Scott; Najarian, Kayvan

Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets

DIAGNOSTICS

IF3.3

2024-07-29

OAAI

Zhang, Yufeng; Kohne, Joseph; Wittrup, Emily; Najarian, Kayvan

Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors

SENSORS

IF3.5

2024-03-29

OAAI

Zare, Ali; Wittrup, Emily; Najarian, Kayvan

Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data 增强心力衰竭治疗决策: 使用EHR数据进行高级治疗资格预测的可解释机器学习模型

BMC MEDICAL INFORMATICS AND DECISION MAKING

IF3.8

2024-02-14

OAAI

Zhang, Yufeng; Golbus, Jessica R.; Wittrup, Emily; Aaronson, Keith D.; Najarian, Kayvan

Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images

BIOENGINEERING-BASEL

IF3.7

2024-01-29

OAAI

Gao, Zijun; Wittrup, Emily; Najarian, Kayvan

Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals

DIAGNOSTICS

IF3.3

2024-01-23

OAAI

Alge, Olivia P.; Gryak, Jonathan; Vanepps, J. Scott; Najarian, Kayvan

Using Computer Vision to Improve Endoscopic Disease Quantification in Therapeutic Clinical Trials of Ulcerative Colitis

GASTROENTEROLOGY

IF25.1

2024-01-01

OAAI

Stidham, Ryan W.; Cai, Lingrui; Cheng, Shuyang; Rajaei, Flora; Hiatt, Tadd; Wittrup, Emily; Rice, Michael D.; Bishu, Shrinivas; Wehkamp, Jan; Schultz, Weiwei; Khan, Najat; Stojmirovic, Aleksandar; Ghanem, Louis R.; Najarian, Kayvan

AI-Based Decision Support System for Traumatic Brain Injury: A Survey

DIAGNOSTICS

IF3.3

2023-05-05

OAAI

Rajaei, Flora; Cheng, Shuyang; Williamson, Craig. A. A.; Wittrup, Emily; Najarian, Kayvan

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2023-01-01

OAAI

Yao, Heming; Derksen, Harm; Golbus, Jessica R. R.; Zhang, Justin; Aaronson, Keith D. D.; Gryak, Jonathan; Najarian, Kayvan

Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithm

JOURNAL OF HEART AND LUNG TRANSPLANTATION

IF6

2022-12-01

PREAI

Yao, Heming; Golbus, Jessica R.; Gryak, Jonathan; Pagani, Francis D.; Aaronson, Keith D.; Najarian, Kayvan

Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data

ANESTHESIOLOGY

IF9.1

2022-08-11

OAAI

Mathis, Michael R.; Engoren, Milo C.; Williams, Aaron M.; Biesterveld, Ben E.; Croteau, Alfred J.; Cai, Lingrui; Kim, Renaid B.; Liu, Gang; Ward, Kevin R.; Najarian, Kayvan; Gryak, Jonathan

研究方向