Ahmad Wisnu Mulyadi

Ahmad Wisnu Mulyadi

Korea University

H-index: 6

Asia-South Korea

About Ahmad Wisnu Mulyadi

Ahmad Wisnu Mulyadi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Korea University, specializes in the field of Machine/Deep Learning, Medical Data Analysis, AI in Healthcare, Graph Representation Learning.

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

An introduction to neural networks and deep learning

KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals

Deep Efficient Continuous Manifold Learning for Time Series Modeling

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series

Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction

Continuous Riemannian Geometric Learning for Sleep Staging Classification

Ahmad Wisnu Mulyadi Information

University

Position

Machine Intelligence Lab

Citations(all)

116

Citations(since 2020)

116

Cited By

17

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Korea University

Google Scholar

View Google Scholar Profile

Ahmad Wisnu Mulyadi Skills & Research Interests

Machine/Deep Learning

Medical Data Analysis

AI in Healthcare

Graph Representation Learning

Top articles of Ahmad Wisnu Mulyadi

Title

Journal

Author(s)

Publication Date

An introduction to neural networks and deep learning

Ahmad Wisnu Mulyadi

Jee Seok Yoon

Eunjin Jeon

Wonjun Ko

Heung-Il Suk

2023/11/23

KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation

arXiv preprint arXiv:2310.14552

Ahmad Wisnu Mulyadi

Heung-Il Suk

2023/10/23

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals

arXiv preprint arXiv:2310.03457

Kwanseok Oh

Da-Woon Heo

Ahmad Wisnu Mulyadi

Wonsik Jung

Eunsong Kang

...

2023/10/5

Deep Efficient Continuous Manifold Learning for Time Series Modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence

Seungwoo Jeong

Wonjun Ko

Ahmad Wisnu Mulyadi

Heung-Il Suk

2023/9/28

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning

NeuroImage

Ahmad Wisnu Mulyadi

Wonsik Jung

Kwanseok Oh

Jee Seok Yoon

Kun Ho Lee

...

2023/6/1

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series

IEEE Transactions on Cybernetics

Ahmad Wisnu Mulyadi

Eunji Jun

Heung-Il Suk

2022/9

Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction

Kwanseok Oh

Da-Woon Heo

Ahmad Wisnu Mulyadi

Wonsik Jung

Eunsong Kang

...

2022/8/25

Continuous Riemannian Geometric Learning for Sleep Staging Classification

Seungwoo Jeong

Wonjun Ko

AhmadWisnu Mulyadi

Heung-Il Suk

2022/2/21

ENGINE: Enhancing neuroimaging and genetic information by neural embedding

Wonjun Ko

Wonsik Jung

Eunjin Jeon

Ahmad Wisnu Mulyadi

Heung-Il Suk

2021/12/7

ProtoBrainMaps: Prototypical Brain Maps for Alzheimer's Disease Progression Modeling

Ahmad Wisnu Mulyadi

Heung-Il Suk

2021/7/5

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

IEEE Transactions on Neural Networks and Learning Systems

Eunji Jun

Ahmad Wisnu Mulyadi

Jaehun Choi

Heung-Il Suk

2020/8/25

See List of Professors in Ahmad Wisnu Mulyadi University(Korea University)

Co-Authors

H-index: 9
Eunji Jun

Eunji Jun

Korea University

H-index: 8
Jee Seok Yoon

Jee Seok Yoon

Korea University

H-index: 5
Wonsik Jung

Wonsik Jung

Korea University

H-index: 3
Kwanseok Oh

Kwanseok Oh

Korea University

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