Baoxin Li

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Research activity per year

Education/Academic qualification

PHD, University of Maryland-College Park

… → 2000

MS, Beijing University of Posts and Telecommunications

… → 1995

BS, Beijing University of Posts and Telecommunications

… → 1992

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Dive into the research topics where Baoxin Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Artificial intelligence surgical performance supervision using machine learning hand motion detection: a novel tool for neurosurgical skills performance assessment
Li, B. (PI)
Dignity Health-St. Joseph's Hospital: Barrow Neurological Institute (BNI)
3/1/24 → 6/30/24
Project: Research project
Machine Learning and Artificial Intelligence in Alzheimers Research
Li, B. (CoI) & Wu, T. (PI)
Arizona Alzheimer's Consortium
7/1/23 → 6/30/24
Project: Research project
Tracer harmonization for amyloid and tau PET imaging using statistical and deep l - Resubmission - 1
Li, B. (CoI) & Wu, T. (PI)
HHS: National Institutes of Health (NIH)
8/1/22 → 7/31/25
Project: Research project
Transferable Deep Learning for Fast MR Imaging
Li, B. (PI)
ASU: Mayo Seed Grant
7/1/22 → 6/30/24
Project: Research project
Advanced Imaging and Machine Learning in Alzheimers Research - Revision - 1
Wu, T. (PI) & Li, B. (CoI)
Arizona Alzheimer's Consortium
7/1/22 → 6/30/23
Project: Research project

159 Conference contribution
61 Article
7 Paper
5 Review article
More

Artificial intelligence–based deep learning model for evaluating procedural consistency in microvascular anastomosis
Chen, J., On, T. J., Xu, Y., Tangsrivimol, J. A., Yangi, K., Tanikawa, R., Lawton, M. T., Santello, M., Li, B. & Preul, M. C., Jan 2026, In: Journal of neurosurgery. 144, 1, p. 1-10 10 p.
Research output: Contribution to journal › Article › peer-review

1 Link opens in a new tab Scopus citations
AFD: Defending Convolutional Neural Networks Without Using Adversarial Samples
Thakur, N., Ding, Y. & Li, B., 2025, In: IEEE Open Journal of Signal Processing. 6, p. 571-580 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
A-FSL: Adaptive Few-Shot Learning via Task-Driven Context Aggregation and Attentive Feature Refinement
Paul, R., Vora, S., Thakur, N. & Li, B., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 97-113 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15326 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review
Yangi, K., On, T. J., Xu, Y., Gholami, A. S., Hong, J., Reed, A. G., Puppalla, P., Chen, J., Tangsrivimol, J. A., Li, B., Santello, M., Lawton, M. T. & Preul, M. C., 2025, In: Frontiers in Surgery. 12, 1528362.
Research output: Contribution to journal › Review article › peer-review

Open Access
16 Link opens in a new tab Scopus citations
Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties
Yangi, K., Hong, J., Gholami, A. S., On, T. J., Reed, A. G., Puppalla, P., Chen, J., Calderon Valero, C. E., Xu, Y., Li, B., Santello, M., Lawton, M. T. & Preul, M. C., 2025, In: Frontiers in Neurology. 16, 1532398.
Research output: Contribution to journal › Review article › peer-review

Open Access

12 Link opens in a new tab Scopus citations

Findings from Arizona State University Advance Knowledge in Algorithms (Accelerating Realization of Effective Capacity in Lightweight Vision Models via Self-Competitive Distillation)
Liu, H. & Li, B.
5/13/26
1 item of Media coverage
Press/Media: Press / Media
Findings from Arizona State University Broadens Understanding of Traumatic Brain Injury (Traumatic brain injury recovery prediction by harmonizing real brain CT and synthetic brain MRI: a pilot study)
Wu, T. & Li, B.
5/4/26
1 item of Media coverage
Press/Media: Press / Media
Research from Arizona State University Reveals New Findings on Artificial Intelligence (Training Artificial Intelligence to Recognize Surgical Steps in Microscope-Based Videos of Middle Cerebral Artery Aneurysm Clipping)
Li, B.
3/18/26
1 item of Media coverage
Press/Media: Press / Media
New Algorithms Research Has Been Reported by Researchers at Arizona State University (xScore: A Simple Metric for Cross-Domain Robustness in Lightweight Vision Models)
Liu, H. & Li, B.
2/11/26
1 item of Media coverage
Press/Media: Press / Media
Arizona State University Researchers Have Provided New Study Findings on Big Data Mining (Transferable Variational Feedback Network for Vendor and Sequence Generalization in Accelerated MRI)
Li, B.
10/8/25
1 item of Media coverage
Press/Media: Press / Media

Baoxin Li

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Artificial intelligence surgical performance supervision using machine learning hand motion detection: a novel tool for neurosurgical skills performance assessment

Machine Learning and Artificial Intelligence in Alzheimers Research

Tracer harmonization for amyloid and tau PET imaging using statistical and deep l - Resubmission - 1

Transferable Deep Learning for Fast MR Imaging

Advanced Imaging and Machine Learning in Alzheimers Research - Revision - 1

Artificial intelligence–based deep learning model for evaluating procedural consistency in microvascular anastomosis

AFD: Defending Convolutional Neural Networks Without Using Adversarial Samples

A-FSL: Adaptive Few-Shot Learning via Task-Driven Context Aggregation and Attentive Feature Refinement

Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review

Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties

Findings from Arizona State University Advance Knowledge in Algorithms (Accelerating Realization of Effective Capacity in Lightweight Vision Models via Self-Competitive Distillation)

Findings from Arizona State University Broadens Understanding of Traumatic Brain Injury (Traumatic brain injury recovery prediction by harmonizing real brain CT and synthetic brain MRI: a pilot study)

Research from Arizona State University Reveals New Findings on Artificial Intelligence (Training Artificial Intelligence to Recognize Surgical Steps in Microscope-Based Videos of Middle Cerebral Artery Aneurysm Clipping)

New Algorithms Research Has Been Reported by Researchers at Arizona State University (xScore: A Simple Metric for Cross-Domain Robustness in Lightweight Vision Models)

Arizona State University Researchers Have Provided New Study Findings on Big Data Mining (Transferable Variational Feedback Network for Vendor and Sequence Generalization in Accelerated MRI)

Baoxin Li

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Grants

Scholarly Works

Press/Media