Ange Lou

785 total citations
19 papers, 429 citations indexed

About

Ange Lou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ange Lou has authored 19 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ange Lou's work include AI in cancer detection (6 papers), Advanced Neural Network Applications (6 papers) and Surgical Simulation and Training (5 papers). Ange Lou is often cited by papers focused on AI in cancer detection (6 papers), Advanced Neural Network Applications (6 papers) and Surgical Simulation and Training (5 papers). Ange Lou collaborates with scholars based in United States and China. Ange Lou's co-authors include Murray H. Loew, Shuyue Guan, Hanseok Ko, Jack H. Noble, Kareem O. Tawfik, Yamin Li, Robert F. Labadie, Shiyu Wang, Ziyan Wu and İpek Oğuz and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Computers in Biology and Medicine and Journal of Medical Imaging.

In The Last Decade

Ange Lou

15 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ange Lou United States 7 243 157 144 74 55 19 429
Shuyue Guan United States 11 232 1.0× 263 1.7× 261 1.8× 70 0.9× 61 1.1× 27 556
Junlong Cheng China 8 237 1.0× 128 0.8× 165 1.1× 35 0.5× 80 1.5× 22 413
Shuanglang Feng China 5 265 1.1× 266 1.7× 224 1.6× 99 1.3× 105 1.9× 9 544
Dominik Müller Germany 6 141 0.6× 270 1.7× 173 1.2× 40 0.5× 80 1.5× 16 540
Guilian Chen China 7 228 0.9× 96 0.6× 234 1.6× 167 2.3× 49 0.9× 19 488
Yinghao Zhang China 6 231 1.0× 150 1.0× 141 1.0× 30 0.4× 68 1.2× 27 453
Mustafa Elattar Egypt 10 118 0.5× 148 0.9× 117 0.8× 76 1.0× 56 1.0× 34 449
Hoel Kervadec Canada 7 300 1.2× 232 1.5× 196 1.4× 17 0.2× 86 1.6× 12 541
Nikhil Kumar Tomar United States 8 294 1.2× 259 1.6× 232 1.6× 216 2.9× 28 0.5× 18 581
D. R. Sarvamangala India 3 133 0.5× 207 1.3× 194 1.3× 19 0.3× 70 1.3× 5 541

Countries citing papers authored by Ange Lou

Since Specialization
Citations

This map shows the geographic impact of Ange Lou'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 Ange Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ange Lou more than expected).

Fields of papers citing papers by Ange Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ange Lou. 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 Ange Lou. The network helps show where Ange Lou may publish in the future.

Co-authorship network of co-authors of Ange Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Ange Lou. A scholar is included among the top collaborators of Ange Lou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ange Lou. Ange Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Lou, Ange, et al.. (2025). Zero-shot surgical tool segmentation in monocular video using Segment Anything Model 2. 105–105. 3 indexed citations
2.
Lou, Ange & Jack H. Noble. (2025). WS-SfMLearner: self-supervised monocular depth and ego-motion estimation on surgical videos with unknown camera parameters. Journal of Medical Imaging. 12(2). 25003–25003.
3.
Lou, Ange, et al.. (2025). Surgical depth anything: depth estimation for surgical scenes using foundation models. 10–10. 2 indexed citations
4.
Liu, Han, Dewei Hu, Ange Lou, et al.. (2024). FNPC-SAM: uncertainty-guided false negative/positive control for SAM on noisy medical images. PubMed. 12926. 1–1. 1 indexed citations
5.
Li, Yamin, et al.. (2024). Leveraging sinusoidal representation networks to predict fMRI signals from EEG. 254–254. 1 indexed citations
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7.
Lou, Ange, Zhongpai Gao, Yamin Li, et al.. (2024). DaReNeRF: Direction-aware Representation for Dynamic Scenes. 5031–5042.
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9.
Chang, Catie, Dario J. Englot, Soheil Kolouri, et al.. (2024). NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. 23378–23405.
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Lou, Ange, et al.. (2023). CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation. Computers in Biology and Medicine. 154. 106579–106579. 36 indexed citations
13.
Lou, Ange, Dewei Hu, Han Liu, et al.. (2023). Novel application of the attention mechanism on medical image harmonization. 2 indexed citations
14.
Lou, Ange, et al.. (2023). Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation. IEEE Transactions on Medical Imaging. 42(10). 2832–2841. 35 indexed citations
15.
Lou, Ange, Shuyue Guan, & Murray H. Loew. (2023). CaraNet: context axial reverse attention network for segmentation of small medical objects. Journal of Medical Imaging. 10(1). 14005–14005. 71 indexed citations
16.
Lou, Ange, Shuyue Guan, Hanseok Ko, & Murray H. Loew. (2022). CaraNet: context axial reverse attention network for segmentation of small medical objects. 11–11. 93 indexed citations
17.
Lou, Ange, Shuyue Guan, & Murray H. Loew. (2021). DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. 98–98. 107 indexed citations
18.
Lou, Ange & Murray H. Loew. (2021). CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation. 1894–1898. 61 indexed citations
19.
Lou, Ange, et al.. (2019). Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. 1–6. 11 indexed citations

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.

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