D-Index & Metrics Best Publications

D-Index & Metrics

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 48 Citations 9,123 236 World Ranking 3133 National Ranking 290

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Yefeng Zheng spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Image segmentation. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Deep learning, Image, Object detection, Image processing and Discriminative model. His work in the fields of Computer vision, such as Landmark, Optical flow and Tracking, overlaps with other areas such as Nonlinear dimensionality reduction.

His studies in Pattern recognition integrate themes in fields like Artificial neural network, Supervised learning, Image registration and Metric. His Segmentation study combines topics from a wide range of disciplines, such as Transcatheter aortic, Algorithm, Magnetic resonance imaging and Aortography. His work on Level set method as part of his general Image segmentation study is frequently connected to Line, thereby bridging the divide between different branches of science.

His most cited work include:

  • Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features (551 citations)
  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (493 citations)
  • Robust point matching for nonrigid shapes by preserving local neighborhood structures (250 citations)

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

Yefeng Zheng mostly deals with Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Deep learning. Artificial intelligence is closely attributed to Machine learning in his work. The Pattern recognition study combines topics in areas such as Image processing and Magnetic resonance imaging.

His research in Segmentation focuses on subjects like Left atrium, which are connected to Anatomy. His Computer vision research integrates issues from Boundary and Robustness. His Deep learning research includes themes of Artificial neural network and Training set.

He most often published in these fields:

  • Artificial intelligence (79.43%)
  • Pattern recognition (37.66%)
  • Segmentation (36.71%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (79.43%)
  • Pattern recognition (37.66%)
  • Deep learning (18.67%)

In recent papers he was focusing on the following fields of study:

Yefeng Zheng mainly investigates Artificial intelligence, Pattern recognition, Deep learning, Segmentation and Machine learning. His study in Image, Convolutional neural network, Artificial neural network, Training set and Feature extraction is carried out as part of his Artificial intelligence studies. His study in the fields of Discriminative model under the domain of Pattern recognition overlaps with other disciplines such as Consistency.

His Deep learning research is multidisciplinary, incorporating perspectives in Generator, Inference, Receiver operating characteristic and Scale. When carried out as part of a general Segmentation research project, his work on Image segmentation is frequently linked to work in Field, therefore connecting diverse disciplines of study. As part of the same scientific family, Yefeng Zheng usually focuses on Machine learning, concentrating on Benchmark and intersecting with Computer-aided diagnosis.

Between 2019 and 2021, his most popular works were:

  • Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. (13 citations)
  • Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank (12 citations)
  • Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations (11 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Yefeng Zheng mostly deals with Artificial intelligence, Deep learning, Pattern recognition, Segmentation and Machine learning. With his scientific publications, his incorporates both Artificial intelligence and Color histogram. His Deep learning research incorporates elements of Artificial neural network, Accurate segmentation and Training set.

Yefeng Zheng has researched Pattern recognition in several fields, including Computational complexity theory, Relationship extraction, Leverage and Robustness. His work on Image segmentation as part of general Segmentation study is frequently connected to Market segmentation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His study in the field of Margin is also linked to topics like Context and Small number.

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

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.
Unknown Journal (2018)

685 Citations

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

Yefeng Zheng;A. Barbu;B. Georgescu;M. Scheuering.
IEEE Transactions on Medical Imaging (2008)

674 Citations

Robust point matching for nonrigid shapes by preserving local neighborhood structures

Yefeng Zheng;D. Doermann.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

358 Citations

Machine printed text and handwriting identification in noisy document images

Yefeng Zheng;Huiping Li;D. Doermann.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)

259 Citations

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

Yi Li;Yefeng Zheng;D. Doermann;S. Jaeger.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

258 Citations

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features

Yefeng Zheng;A. Barbu;B. Georgescu;M. Scheuering.
international conference on computer vision (2007)

218 Citations

Hierarchical, learning-based automatic liver segmentation

Haibin Ling;S.K. Zhou;Yefeng Zheng;B. Georgescu.
computer vision and pattern recognition (2008)

190 Citations

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

Lin Yang;B. Georgescu;Yefeng Zheng;P. Meer.
computer vision and pattern recognition (2008)

186 Citations

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Zizhao Zhang;Lin Yang;Yefeng Zheng.
computer vision and pattern recognition (2018)

184 Citations

Method and system for anatomical object detection using marginal space deep neural networks

Bogdan Georgescu;Yefeng Zheng;Hien Nguyen;Vivek Kumar Singh.
(2015)

173 Citations

Best Scientists Citing Yefeng Zheng

Dorin Comaniciu

Dorin Comaniciu

Siemens (United States)

Publications: 168

Bogdan Georgescu

Bogdan Georgescu

Princeton University

Publications: 99

Dimitris N. Metaxas

Dimitris N. Metaxas

Rutgers, The State University of New Jersey

Publications: 43

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 43

Le Lu

Le Lu

PAII Inc.

Publications: 43

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 41

Andreas Maier

Andreas Maier

University of Erlangen-Nuremberg

Publications: 40

S. Kevin Zhou

S. Kevin Zhou

Institute Of Computing Technology

Publications: 39

Ivana Isgum

Ivana Isgum

University of Amsterdam

Publications: 37

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 36

Shuo Li

Shuo Li

University of Western Ontario

Publications: 34

Joachim Hornegger

Joachim Hornegger

University of Erlangen-Nuremberg

Publications: 34

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 31

Pheng-Ann Heng

Pheng-Ann Heng

Chinese University of Hong Kong

Publications: 30

Bjoern H. Menze

Bjoern H. Menze

University of Zurich

Publications: 29

Ronald M. Summers

Ronald M. Summers

National Institutes of Health

Publications: 28

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.