Le Hou
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- Digital Imaging for Blood Diseases
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
Papers in
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- AI in cancer detection 10
-
- Digital Imaging for Blood Diseases 4
- Medical Image Segmentation Techniques 3
- Co-authors
- Dimitris Samaras (16 shared papers)Joel Saltz (14 shared papers)Tahsin Kurç (13 shared papers)Yi Gao (4 shared papers)James Davis (2 shared papers)Rajarsi Gupta (8 shared papers)Tomás F. Yago Vicente (2 shared papers)Minh Hoai (2 shared papers)
- Journals
- Frontiers in Psychiatry (1 paper)BMC Psychiatry (1 paper)Translational Psychiatry (1 paper)Frontiers in Oncology (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Le Hou
29 papers receiving 1.5k citations
Le Hou's Hit Papers
Peers
Comparison fields: 5 of 113
- Biophysics 185
- Computer Vision and Pattern Recognition 685
- Artificial Intelligence 923
- Radiology, Nuclear Medicine and Imaging 495
- Health Informatics 24
Countries citing papers authored by Le Hou
This map shows the geographic impact of Le Hou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Le Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Hou more than expected).
Fields of papers citing papers by Le Hou
This network shows the impact of papers produced by Le Hou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Le Hou. The network helps show where Le Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification Hit paper breakdown → | 2016 | 614 |
| 2 | 2016 | 159 | |
| 3 | 2018 | 122 | |
| 4 | 2019 | 97 | |
| 5 | 2020 | 88 | |
| 6 | 2019 | 69 | |
| 7 | 2022 | 53 | |
| 8 | 2020 | 43 | |
| 9 | Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images. | 2018 | 38 |
| 10 | Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. | 2015 | 34 |
| 11 | 2017 | 27 | |
| 12 | 2019 | 21 | |
| 13 | 2014 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2013 | 12 | |
| 19 | Label super-resolution networks. | 2018 | 11 |
| 20 | ConvNets with Smooth Adaptive Activation Functions for Regression. | 2017 | 10 |
About Le Hou
Le Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Media Technology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Cell Image Analysis Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Imaging for Blood Diseases (4 papers), Medical Image Segmentation Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers), Image Processing Techniques and Applications (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Biophysics (185 citations), Computer Vision and Pattern Recognition (685 citations), Artificial Intelligence (923 citations), Radiology, Nuclear Medicine and Imaging (495 citations) and Health Informatics (24 citations). Le Hou has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dimitris Samaras, Joel Saltz, Tahsin Kurç, Yi Gao, James Davis, Rajarsi Gupta, Tomás F. Yago Vicente, Minh Hoai, Chen-Ping Yu and Tianhao Zhao. Their work appears in journals such as Frontiers in Psychiatry, BMC Psychiatry, Translational Psychiatry, Frontiers in Oncology and Scientific Data.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.