Hideki Asai

About Hideki Asai

Hideki Asai, With an exceptional h-index of 17 and a recent h-index of 7 (since 2020), a distinguished researcher at Shizuoka University, specializes in the field of 3D EMC, Deep Learning, Neural Networks.

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

Machine learning-based analysis of regional differences in out-of-hospital cardiopulmonary arrest outcomes and resuscitation interventions in Japan

Explainable Prediction Model of the Need for Emergency Hemostasis Using Field Information During Physician-Staffed Helicopter Emergency Medical Service Interventions: A Single …

Explainable artificial intelligence-based prediction of poor neurological outcome from head computed tomography in the immediate post-resuscitation phase

addHessian: Combining quasi-Newton method with first-order method for neural network training

On the study of the memory-less quasi-Newton method with momentum term for neural network training

Factors associated with the increased risk of atlantoaxial osteoarthritis: a retrospective study

2012 Asia-Pacific Symposim on Electromagnetic Compatibility & Technical Exhibition on EMC, RF/Microwave Measurement and Instrumentation-Asia-Pacific EMC week

Sensitivity and specificity analyses of COVID-19 screening protocol for emergency medical services: A STARD-compliant population-based retrospective study

Hideki Asai Information

University

Position

___

Citations(all)

1794

Citations(since 2020)

425

Cited By

1401

hIndex(all)

17

hIndex(since 2020)

7

i10Index(all)

48

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Hideki Asai Skills & Research Interests

3D EMC

Deep Learning

Neural Networks

Top articles of Hideki Asai

Machine learning-based analysis of regional differences in out-of-hospital cardiopulmonary arrest outcomes and resuscitation interventions in Japan

Scientific Reports

2023/9/23

Koji Yamamoto
Koji Yamamoto

H-Index: 14

Hideki Asai
Hideki Asai

H-Index: 7

Explainable Prediction Model of the Need for Emergency Hemostasis Using Field Information During Physician-Staffed Helicopter Emergency Medical Service Interventions: A Single …

Air Medical Journal

2023/9/1

Koji Yamamoto
Koji Yamamoto

H-Index: 14

Hideki Asai
Hideki Asai

H-Index: 7

Explainable artificial intelligence-based prediction of poor neurological outcome from head computed tomography in the immediate post-resuscitation phase

Scientific Reports

2023/4/8

Koji Yamamoto
Koji Yamamoto

H-Index: 14

Hideki Asai
Hideki Asai

H-Index: 7

addHessian: Combining quasi-Newton method with first-order method for neural network training

Nonlinear Theory and Its Applications, IEICE

2022

Hideki Asai
Hideki Asai

H-Index: 7

On the study of the memory-less quasi-Newton method with momentum term for neural network training

Nonlinear Theory and Its Applications, IEICE

2022

Hideki Asai
Hideki Asai

H-Index: 7

Factors associated with the increased risk of atlantoaxial osteoarthritis: a retrospective study

European Spine Journal

2022/12

Sensitivity and specificity analyses of COVID-19 screening protocol for emergency medical services: A STARD-compliant population-based retrospective study

Medicine

2022/10/7

Hideki Asai
Hideki Asai

H-Index: 7

Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study

BMC emergency medicine

2022/9/15

Shingo Ito
Shingo Ito

H-Index: 10

Hideki Asai
Hideki Asai

H-Index: 7

Visual assessment of interactions among resuscitation activity factors in out-of-hospital cardiopulmonary arrest using a machine learning model

Plos one

2022/9/6

Association of multiple rib fractures with the frequency of pneumonia in the post-resuscitation period

Resuscitation Plus

2022/9/1

Effect of coaching with repetitive verbal encouragements on dispatch-assisted cardiopulmonary resuscitation: a randomized simulation study

The Journal of Emergency Medicine

2022/8/1

Keisuke Takano
Keisuke Takano

H-Index: 16

Hideki Asai
Hideki Asai

H-Index: 7

Comparison of changes in vital signs during ground and helicopter emergency medical services and hospital interventions

Air Medical Journal

2022/7/1

On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Hideki Asai
Hideki Asai

H-Index: 7

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Hideki Asai
Hideki Asai

H-Index: 7

Accelerating symmetric rank-1 Quasi-Newton method with Nesterov’s gradient for training neural networks

Algorithms

2021/12

S. Indrapriyadarsini
S. Indrapriyadarsini

H-Index: 2

Hideki Asai
Hideki Asai

H-Index: 7

Significance of initial hemoglobin levels in severe trauma patients without prehospital fluid administration: a single-center study in Japan

Trauma Surgery & Acute Care Open

2021/12/1

Hideki Asai
Hideki Asai

H-Index: 7

Keisuke Takano
Keisuke Takano

H-Index: 16

A modified limited memory Nesterov's accelerated quasi-Newton

arXiv preprint arXiv:2112.01327

2021/12/1

Hideki Asai
Hideki Asai

H-Index: 7

The Impact of Instructions for Covering the Mouth and the Nose on Dispatch-Assisted Cardiopulmonary Resuscitation

Circulation

2021/11/16

Hideki Asai
Hideki Asai

H-Index: 7

Koji Yamamoto
Koji Yamamoto

H-Index: 14

See List of Professors in Hideki Asai University(Shizuoka University)