Publications
16
Citations
2,111
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2014
Lin Li's work focuses on applying artificial intelligence and imaging analysis to medical diagnosis, especially using CT scans and other imaging data to detect and characterize diseases such as COVID-19, pulmonary conditions, and cancer. Recent work also branches into broader AI methods like detecting AI-generated images and spiking neural networks for sensor data, suggesting an interest in general machine learning techniques alongside medical imaging applications.
Publication output was minimal before 2020, spiked sharply during the COVID-19 pandemic year, then slowed to a low, irregular pace with a recent uptick in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Robust AI-Generated Face Detection with Imbalanced Data
2025
- Rotational ultrasound and photoacoustic tomography of the human body.
PubMed · 2025
- MMT-SNN: Markovian decision and multi-threshold spike delivery integrated adaptive spiking neural network for tactile object recognition
Expert Systems with Applications · 2025
- Robust AI-Generated Face Detection with Imbalanced Data
arXiv (Cornell University) · 2025
- Robust COVID-19 Detection in CT Images with CLIP
2024
- Robust COVID-19 Detection in CT Images with CLIP
arXiv (Cornell University) · 2024
- A CNN-transformer fusion network for COVID-19 CXR image classification
PLoS ONE · 2022
- Assisting scalable diagnosis automatically via CT images in the combat against COVID-19
Scientific Reports · 2021
- Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
Radiology · 2020
- Chest computed tomography (CT) findings and semiquantitative scoring of 60 patients with coronavirus disease 2019 (COVID-19): A retrospective imaging analysis combining anatomy and pathology
PLoS ONE · 2020
- The Pulmonary Sequalae in Discharged Patients With COVID-19: A Short-term Observational Study
Research Square · 2020
- The Pulmonary Sequalae in Discharged Patients With COVID-19:A Short-term Observational Study
Research Square · 2020
- A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)
Research Square (Research Square) · 2020
- Chest Computed Tomography (CT) Findings and Semiquantitative Scoring of 60 Patients with Coronavirus Disease 2019 (COVID-19): A Retrospective Imaging Analysis Combining Anatomy and Pathology
Research Square (Research Square) · 2020
- CT Recognition for Liver and Lesions
Lecture notes in electrical engineering · 2018
- PLoS ONE×2
- Research Square×2
- Research Square (Research Square)×2
- arXiv (Cornell University)×2
- Radiology×1
- Nabil Ibtehaz
Medicine · Purdue University West Lafayette
- Shehan Perera
Medicine · The Ohio State University
- María Brunette
Medicine · The Ohio State University
- Vishal Purohit
Medicine · Purdue University West Lafayette
- Saptarshi Purkayastha
Medicine · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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