Heung‐Il Suk

NeuroscienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 14 papers. Top paper: “Latent feature representation with stacked auto-encoder for AD/MCI diagnosis”.

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

UNC Libraries(2020)10.17615/crzr-gs84

N/A

0DataRank · unranked

19 citations

Dinggang Shen, Heung‐Il Suk, Seong–Whan Lee

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

UNC Libraries(2020)10.17615/3hk3-3450

N/A

0DataRank · unranked

26 citations

Seong–Whan Lee, Heung‐Il Suk, Dinggang Shen, Xiaofeng Zhu

MRI-Based Intelligence Quotient (IQ) Estimation with Sparse Learning

UNC Libraries(2020)10.17615/nrqh-ce93

N/A

0DataRank · unranked

6 citations

Dinggang Shen, Chong‐Yaw Wee, Liye Wang, Heung‐Il Suk, Xiaoying Tang

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

UNC Libraries(2020)10.17615/v40e-tc44

N/A

0DataRank · unranked

6 citations

Seong–Whan Lee, Dinggang Shen, Xiaofeng Zhu, Heung‐Il Suk, Li Wang

Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments

UNC Libraries(2020)10.17615/cjtg-3j62

N/A

0DataRank · unranked

4 citations

Heung‐Il Suk, Dinggang Shen, Lexin Li, Zhou Li

Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis

UNC Libraries(2020)10.17615/0dxf-d468

N/A

0DataRank · unranked

3 citations

Seong–Whan Lee, Xiaofeng Zhu, Heung‐Il Suk, Dinggang Shen

Deep Learning in Medical Image Analysis

UNC Libraries(2020)10.17615/fky5-7z85

N/A

0DataRank · unranked

0 citations

Guorong Wu, Heung‐Il Suk, Dinggang Shen

Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

UNC Libraries(2020)10.17615/r2qz-en63

N/A

0DataRank · unranked

0 citations

Heung‐Il Suk, Seong–Whan Lee, Dinggang Shen

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

UNC Libraries(2020)10.17615/23m3-fx93

N/A

0DataRank · unranked

0 citations

Dinggang Shen, Heung‐Il Suk

Deep ensemble learning of sparse regression models for brain disease diagnosis

UNC Libraries(2020)10.17615/q677-j069

N/A

0DataRank · unranked

0 citations

Heung‐Il Suk, Seong–Whan Lee, Dinggang Shen

Multimodal manifold-regularized transfer learning for MCI conversion prediction

UNC Libraries(2020)10.17615/df1t-3m56

N/A

0DataRank · unranked

0 citations

Heung‐Il Suk, Dinggang Shen, Bo Cheng, Mingxia Liu, Daoqiang Zhang

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

UNC Libraries(2020)10.17615/9fvx-z553

N/A

0DataRank · unranked

0 citations

Seong–Whan Lee, Heung‐Il Suk, Dinggang Shen

Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis

UNC Libraries(2024)10.17615/gn6x-3489

N/A

0DataRank · unranked

0 citations

Seong–Whan Lee, Dinggang Shen, Xiaofeng Zhu, Heung‐Il Suk

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification

UNC Libraries(2024)10.17615/b78d-fj71

N/A

0DataRank · unranked

0 citations

Heung‐Il Suk, Xiaofeng Zhu, Dinggang Shen