Raimond L Winslow

Raimond L Winslow

Johns Hopkins University

H-index: 59

North America-United States

About Raimond L Winslow

Raimond L Winslow, With an exceptional h-index of 59 and a recent h-index of 28 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of biomedical data science, computational medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

First-Principles Electrophysiological Models of Cardiac Ventricular Myocytes as a Basis of Multiscale Mechanics of the Heart

Grand Challenges at the Interface of Engineering and Medicine

Erratum to “BME 2.0: Engineering the Future of Medicine”

Predicting intensive care delirium with machine learning: Model development and external validation

A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients

Predicting respiratory decompensation in mechanically ventilated adult ICU patients

Machine Learning Approaches for Early Outcome Risk Stratification Within 6 Hours of Cardiac Arrest

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

Raimond L Winslow Information

University

Position

The

Citations(all)

13187

Citations(since 2020)

2444

Cited By

11388

hIndex(all)

59

hIndex(since 2020)

28

i10Index(all)

126

i10Index(since 2020)

70

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Raimond L Winslow Skills & Research Interests

biomedical data science

computational medicine

Top articles of Raimond L Winslow

Title

Journal

Author(s)

Publication Date

First-Principles Electrophysiological Models of Cardiac Ventricular Myocytes as a Basis of Multiscale Mechanics of the Heart

TG Mythri

Shaikh J Hossain

Joseph L Greenstein

Raimond L Winslow

Baidurya Bhattacharya

2024/7/1

Grand Challenges at the Interface of Engineering and Medicine

IEEE Open Journal of Engineering in Medicine and Biology

Shankar Subramaniam

Metin Akay

Mark A Anastasio

Vasudev Bailey

David Boas

...

2024/2/21

Erratum to “BME 2.0: Engineering the Future of Medicine”

BME frontiers

Michael I Miller

Andrew O Brightman

Frederick H Epstein

K Jane Grande-Allen

Jordan J Green

...

2023/9/20

Predicting intensive care delirium with machine learning: Model development and external validation

Anesthesiology

Kirby D Gong

Ryan Lu

Teya S Bergamaschi

Akaash Sanyal

Joanna Guo

...

2023/3/1

A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients

PloS one

Sanjukta N Bose

Andrew Defante

Joseph L Greenstein

Gabriel G Haddad

Julie Ryu

...

2023/8/4

Predicting respiratory decompensation in mechanically ventilated adult ICU patients

Frontiers in Physiology

Yvette Tan

Michael Young

Akanksha Girish

Beini Hu

Zina Kurian

...

2023/4/14

Machine Learning Approaches for Early Outcome Risk Stratification Within 6 Hours of Cardiac Arrest

Circulation

Qingchu Jin

Richard R Riker

Hunter Williams

Teresa May

David B Seder

...

2023/11/7

Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

Akarsh Singh

Michael Wan

Lane Harrison

Anne Breggia

Robert Christman

...

2023/3/27

Estimating the probability of early afterdepolarizations and predicting arrhythmic risk associated with long QT syndrome type 1 mutations

Biophysical journal

Qingchu Jin

Joseph L Greenstein

Raimond L Winslow

2023/10/17

Early diagnosis and treatment methods for pending septic shock

2023/3/16

Machine Learning Models Can Predict Mortality and Organ-Specific Deterioration in Mechanically Ventilated Patients

S Sonthalia

M Kusmanov

AS Ding

M Sanchez

Y Chen

...

2022/5

Predicting Adverse Events in the Cardiothoracic Surgery Intensive Care Unit Using Machine Learning: Results and Challenges

medRxiv

Saeed Amal

Robert Kramer

Douglas Sawyer

Jaime B Rabb

Alanna S Maurais

...

2022/12/20

Does prolonged action potential always indicate greater early-afterdepolarization risk?

Biophysical Journal

Qingchu Jin

Joseph L Greenstein

Raimond L Winslow

2022/2/11

Methods and applications in computational physiology and medicine

Frontiers in Physiology

Ahsan H Khandoker

Paolo Castiglioni

Joseph L Greenstein

Jichao Zhao

FS Schlindwein

...

2022/11/24

Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series

Anaesthesia Critical Care & Pain Medicine

Han B Kim

Hieu T Nguyen

Qingchu Jin

Sharmila Tamby

Tatiana Gelaf Romer

...

2021/12/27

aEYE: a deep learning system for video nystagmus detection

Frontiers in Neurology

Narayani Wagle

John Morkos

Jingyan Liu

Henry Reith

Joseph Greenstein

...

2022/8/11

771: MACHINE LEARNING PREDICTION OF RESPONSIVENESS PHENOTYPES IN NON-NEUROLOGIC ICU PATIENTS

Critical Care Medicine

Haoyin Xu

Jacob Desman

Qianqi Huang

Munachiso Igboko

Alisha Kodibagkar

...

2022/1/1

Critical requirements for the initiation of a cardiac arrhythmia in rat ventricle: how many myocytes?

Cells

Aman Ullah

Minh Tuan Hoang-Trong

William Jonathan Lederer

Raimond L Winslow

Mohsin Saleet Jafri

2022/6/9

Non-Eye Tracking, Deep Learning-enabled Detection of Nystagmus in Dizzy Patients

Narayani Wagle

John Morkos

Jorge Otero-Millan

Jingyan Liu

Joseph Greenstein

...

2021/12/21

Offline reinforcement learning with uncertainty for treatment strategies in sepsis

arXiv preprint arXiv:2107.04491

Ran Liu

Joseph L Greenstein

James C Fackler

Jules Bergmann

Melania M Bembea

...

2021/7/9

See List of Professors in Raimond L Winslow University(Johns Hopkins University)