Lisa Tang

2.0k total citations · 1 hit paper
49 papers, 1.2k citations indexed

About

Lisa Tang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Lisa Tang has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Lisa Tang's work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Lisa Tang is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Lisa Tang collaborates with scholars based in Canada, United States and China. Lisa Tang's co-authors include Roger Tam, Anthony Traboulsee, Youngjin Yoo, David K.B. Li, Tom Brosch, Ghassan Hamarneh, Victor A. Tron, Piers Blaikie, Michael Stocking and Peter Dixon and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and IEEE Transactions on Power Systems.

In The Last Decade

Lisa Tang

45 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

2016 306 citations Tom Brosch, Lisa Tang et al. profile →

Peers

Lisa Tang

CVPR

RNMI

NEURO

Xiangning Wang China

Shu Wang China

Massimo Salvi Italy

Suling Xu China

Martino Bosco Italy

Zhaohui Zheng China

Hiroshi Murata Japan

Evgin Göçeri Türkiye

Guangzhi Ma China

Kei Kato Japan

Xiangning Wang China

Lisa Tang

150 ×0.6

CVPR

444 ×1.8

RNMI

127 ×0.8

231 ×1.6

46 ×0.3

NEURO

Citations per year, relative to Lisa Tang Lisa Tang (= 1×) peers Xiangning Wang

Countries citing papers authored by Lisa Tang

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Tang. A scholar is included among the top collaborators of Lisa Tang 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 Lisa Tang. Lisa Tang 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

Zhao, Yali, et al.. (2024). Deep sequencing analysis of chloroplast transcription and splicing in Euglena gracilis. Algal Research. 84. 103804–103804.

Tang, Lisa, et al.. (2022). Vitamin B3, nicotinamide, enhances mitochondrial metabolism to promote differentiation of the retinal pigment epithelium. Journal of Biological Chemistry. 298(9). 102286–102286. 29 indexed citations

Macle, Laurent, Marc W. Deyell, Lisa Tang, et al.. (2020). Impact of Female Sex on Clinical Presentation and Ablation Outcomes in the CIRCA-DOSE Study. JACC. Clinical electrophysiology. 6(8). 945–954. 19 indexed citations

Tang, Lisa, Harvey O. Coxson, Stephen Lam, et al.. (2020). Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT. The Lancet Digital Health. 2(5). e259–e267. 62 indexed citations

Tang, Lisa, Enedino Hernández‐Torres, Tom Brosch, et al.. (2019). FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images. NeuroImage Clinical. 23. 101918–101918. 9 indexed citations

Tang, Lisa, Weiping Yu, Yihuan Wang, Hongtao Li, & Zan Shen. (2019). Anlotinib inhibits synovial sarcoma by targeting GINS1: a novel downstream target oncogene in progression of synovial sarcoma. Clinical & Translational Oncology. 21(12). 1624–1633. 37 indexed citations

Kolind, Shannon, Irene M. Vavasour, Lisa Tang, et al.. (2017). Advanced Myelin-related MRI Measures in Relapsing Multiple Sclerosis Patients treated with Ocrelizumab or Interferon Beta-1a Over 96 Weeks (P6.371). Neurology. 88(16_supplement). 3 indexed citations

Yoo, Youngjin, Lisa Tang, Tom Brosch, et al.. (2017). Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls. NeuroImage Clinical. 17. 169–178. 62 indexed citations

Zhou, Jinchuan, et al.. (2017). 132 Eyes absent gene (EYA1) is a pathogenic driver and a therapeutic target for melanoma. Journal of Investigative Dermatology. 137(5). S22–S22. 1 indexed citations

10.

Tang, Lisa & Ghassan Hamarneh. (2013). Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration. Lecture notes in computer science. 16(Pt 2). 43–50. 9 indexed citations

11.

Teraa, Martin, Taco J. Blokhuis, Lisa Tang, & Luke P. H. Leenen. (2012). Segmental Tibial Fractures: An Infrequent but Demanding Injury. Clinical Orthopaedics and Related Research. 471(9). 2790–2796. 25 indexed citations

12.

Tang, Lisa, Tim Bressmann, & Ghassan Hamarneh. (2012). Tongue contour tracking in dynamic ultrasound via higher-order MRFs and efficient fusion moves. Medical Image Analysis. 16(8). 1503–1520. 30 indexed citations

13.

Tang, Lisa, Alfred O. Hero, & Ghassan Hamarneh. (2012). Locally-adaptive similarity metric for deformable medical image registration. PubMed. 2012. 728–731. 8 indexed citations

14.

Bissonnette, Robert, Yves Poulin, Yabo Zhou, et al.. (2011). Efficacy and safety of topical WBI-1001 in patients with mild to severe atopic dermatitis: results from a 12-week, multicentre, randomized, placebo-controlled double-blind trial. British Journal of Dermatology. 166(4). 853–860. 70 indexed citations

15.

Bissonnette, Robert, Chantal Bolduc, Catherine Maari, et al.. (2011). Efficacy and safety of topical WBI‐1001 in patients with mild to moderate psoriasis: results from a randomized double‐blind placebo‐controlled, phase II trial. Journal of the European Academy of Dermatology and Venereology. 26(12). 1516–1521. 57 indexed citations

16.

Tang, Lisa, Ghassan Hamarneh, & A. Ćeller. (2009). Dual-isotope Acquisition for CT–SPECT Registration of Infection Studies. Journal of Digital Imaging. 23(3). 258–267. 1 indexed citations

17.

Yin, Lingshu, Lisa Tang, Ghassan Hamarneh, et al.. (2009). Complexity and accuracy of image registration methods in SPECT-guided radiation therapy. Physics in Medicine and Biology. 55(1). 237–246. 16 indexed citations

18.

Hamarneh, Ghassan, et al.. (2008). Simulation of Ground-Truth Validation Data Via Physically- and Statistically-Based Warps. Lecture notes in computer science. 11(Pt 1). 459–467. 17 indexed citations

19.

Tang, Lisa, Ghassan Hamarneh, & A. Ćeller. (2008). Validation of mutual information-based registration of CT and bone SPECT images in dual-isotope studies. Computer Methods and Programs in Biomedicine. 92(2). 173–185. 5 indexed citations

20.

Tang, Lisa, Liping Cao, John P. Sundberg, Harvey Lui, & Jerry Shapiro. (2004). Restoration of hair growth in mice with an alopecia areata‐like disease using topical anthralin. Experimental Dermatology. 13(1). 5–10. 28 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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