D-Index & Metrics Best Publications
Computer Science
China
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 119 Citations 55,083 1,248 World Ranking 89 National Ranking 10

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in China Leader Award

2022 - Research.com Computer Science in China Leader Award

2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biomedical applications of pattern recognition and medical image analysis

2017 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What are the main themes of his work throughout his whole career to date

His Artificial intelligence study frequently links to other fields, such as Pattern recognition (psychology). His research brings together the fields of Artificial intelligence and Pattern recognition (psychology). He carries out multidisciplinary research, doing studies in Machine learning and Boosting (machine learning). Dinggang Shen integrates many fields in his works, including Boosting (machine learning) and Machine learning. Much of his study explores Classifier (UML) relationship to Domain adaptation. He regularly links together related areas like Classifier (UML) in his Domain adaptation studies. He performs multidisciplinary study in Domain (mathematical analysis) and Mathematical analysis in his work. Dinggang Shen combines Mathematical analysis and Domain (mathematical analysis) in his research. He integrates Statistics and Concordance correlation coefficient in his studies.

Dinggang Shen most often published in these fields:

  • Artificial intelligence (100.00%)
  • Machine learning (100.00%)
  • Classifier (UML) (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Deep Learning in Medical Image Analysis

Dinggang Shen;Guorong Wu;Heung Il Suk.
Annual Review of Biomedical Engineering (2017)

2662 Citations

HAMMER: hierarchical attribute matching mechanism for elastic registration

Dinggang Shen;C. Davatzikos.
IEEE Transactions on Medical Imaging (2002)

1234 Citations

Multimodal Classification of Alzheimer’s Disease and Mild Cognitive Impairment

Daoqiang Zhang;Yaping Wang;Luping Zhou;Hong Yuan.
NeuroImage (2011)

1202 Citations

Lane detection and tracking using B-Snake

Yue Wang;Eam Khwang Teoh;Dinggang Shen.
Image and Vision Computing (2004)

1124 Citations

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
arXiv: Computer Vision and Pattern Recognition (2018)

1068 Citations

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Feng Shi;Jun Wang;Jun Shi;Ziyan Wu.
IEEE Reviews in Biomedical Engineering (2021)

811 Citations

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

Wenlu Zhang;Rongjian Li;Houtao Deng;Li Wang.
NeuroImage (2015)

747 Citations

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

Heung-Il Suk;Seong-Whan Lee;Dinggang Shen.
NeuroImage (2014)

707 Citations

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Jie Zhi Cheng;Dong Ni;Yi Hong Chou;Jing Qin.
Scientific Reports (2016)

655 Citations

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

Daoqiang Zhang;Daoqiang Zhang;Dinggang Shen.
NeuroImage (2012)

620 Citations

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