Lei Bi

3.0k total citations
70 papers, 1.5k citations indexed

About

Lei Bi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lei Bi has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Lei Bi's work include Radiomics and Machine Learning in Medical Imaging (27 papers), Medical Imaging Techniques and Applications (22 papers) and AI in cancer detection (20 papers). Lei Bi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), Medical Imaging Techniques and Applications (22 papers) and AI in cancer detection (20 papers). Lei Bi collaborates with scholars based in Australia, China and Pakistan. Lei Bi's co-authors include Dagan Feng, Michael Fulham, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Jinman Kim, Changyang Li, Mingyuan Meng, Shaoli Song and Xiaohang Fu and has published in prestigious journals such as NeuroImage, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Lei Bi

67 papers receiving 1.5k citations

Peers

Countries citing papers authored by Lei Bi

Since Specialization

Citations

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

Fields of papers citing papers by Lei Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Bi. A scholar is included among the top collaborators of Lei Bi 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 Lei Bi. Lei Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Self-supervised multi-modality learning for multi-label skin lesion classification 2025 ·Computer Methods and Programs in Biomedicine ·Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim	3
2	Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling 2025 ·IEEE Transactions on Medical Imaging ·(unknown), Mingyuan Meng, Michael Fulham, Dagan Feng, Lei Bi, Jinman Kim	2
3	Integrated Analysis of Proteomic and Dermoscopy Imaging Data Improves Noninvasive Classification of Benign Nevi and Melanoma 2025 ·Journal of Investigative Dermatology ·(unknown), Lei Bi, (unknown), (unknown), Helena Collgros, Jin‐Man Kim, Pablo Fernández‐Peñas	0
4	TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network 2025 ·Computer Methods and Programs in Biomedicine ·(unknown), (unknown), Lei Bi, Jialiang Huang, (unknown), Dagan Feng, Chen Dong, Bin Sheng, Jinman Kim, (unknown)	0
5	AutoFuse: Automatic fusion networks for deformable medical image registration 2025 ·Pattern Recognition ·Mingyuan Meng, Michael Fulham, Dagan Feng, Lei Bi, Jinman Kim	2
6	Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network 2024 ·IEEE Transactions on Radiation and Plasma Medical Sciences ·Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, Dagan Feng, Michael Fulham, Jinman Kim	0
7	Deep contour attention learning for scleral deformation from OCT images 2024 ·The Visual Computer ·Bo Qian, Hao Chen, Yupeng Xu, (unknown), Huating Li, Yuan Xie, Dagan Feng, Jinman Kim, Lei Bi, Xun Xu, Xiangui He, Bin Sheng	7
8	A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging 2023 ·IEEE Transactions on Medical Imaging ·Wenxiang Ding, (unknown), Kewei Chen, Miao Zhang, Li Lv, Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang	4
9	PET Synthesis via Self-Supervised Adaptive Residual Estimation Generative Adversarial Network 2023 ·IEEE Transactions on Radiation and Plasma Medical Sciences ·(unknown), Lei Bi, (unknown), Michael Fulham, Dagan Feng, Jinman Kim	2
10	Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma 2023 ·European Journal of Nuclear Medicine and Molecular Imaging ·Bingxin Gu, Mingyuan Meng, Mingzhen Xu, Dagan Feng, Lei Bi, Jinman Kim, Shaoli Song	13
11	DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT 2022 ·IEEE Journal of Biomedical and Health Informatics ·Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, Dagan Feng, Jinman Kim	30
12	Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Chunjuan Jiang, Panli Li, Yuan Yuan, (unknown), Lei Bi, Shaoli Song, Jinman Kim, Dagan Feng, Qiu Huang	9
13	Enhancing medical image registration via appearance adjustment networks 2022 ·NeuroImage ·Mingyuan Meng, Lei Bi, Michael Fulham, Dagan Feng, Jinman Kim	12
14	Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images 2021 ·IEEE Transactions on Cybernetics ·(unknown), Lei Bi, (unknown), Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim	2
15	Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning 2021 ·arXiv (Cornell University) ·(unknown), Lei Bi, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim	3
16	Digital mapping of a manual fabrication method for paediatric ankle–foot orthoses 2021 ·Scientific Reports ·(unknown), (unknown), (unknown), Lei Bi, Jinman Kim, Joshua Burns, Tegan L. Cheng	9
17	Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography 2021 ·Computerized Medical Imaging and Graphics ·(unknown), Lei Bi, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim	9
18	Robust deep learning method for choroidal vessel segmentation on swept source optical coherence tomography images 2019 ·Biomedical Optics Express ·(unknown), Lei Bi, Yupeng Xu, Dagan Feng, Jinman Kim, Xun Xu	35
19	A direct volume rendering visualization approach for serial PET–CT scans that preserves anatomical consistency 2019 ·International Journal of Computer Assisted Radiology and Surgery ·Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, Dagan Feng, Michael Fulham	2
20	Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images 2017 ·IEEE Journal of Biomedical and Health Informatics ·Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael Fulham, Dagan Feng	110

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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