BERKELEY | DAVIS | IRVINE SAN FRANCISCO | SANTA BARBARA UCNI
RESEARCH PUBLICATIONS | 2023 - 2024
COMPUTATIONAL HEALTH
Z. Lai, J. Chauhan, D. Chen, B. Dugger, S-C. Cheung, and C-N. Chuah, “Semi-Path: An Interactive Semi-supervised Learning Framework for Gigapixel Pathology Image Analysis. Elsevier Smart Health Journal, vol. 32, June 2024. https://doi.org/10.1016/j.smhl.2024.100474. Z. Lai, J. Chauhan, B. Dugger, and C-N. Chuah, "Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data," European Conference on Computer Vision (ECCV), Oct 2024. R. Scalco, L. Cerny-Oliveira, Z. Lai, D. Harvey L. Abujamil, C. DeCarli, L-W. Jin, C-N. Chuah, and B. N. Dugger, "Machine learning quantification of Amyloid-b in temporal lobe of 131 Brain Bank Cases," Acta Neuropathologica Communications, 12(1):134, Aug 2024. [DOI: 10.1186/s40478-024-01827-7] Z. Lai, J. Chauhan, L. C. Oliveira, B. Dugger, S-C. Cheung, and C-N. Chuah, “Semi-Path: An Interactive Semi-supervised Learning Framework for Gigapixel Pathology Image Analysis,” submitted to Winter Conference on Applications of Computer Vision (WACV), January 2024. Z. Lai, Z. Li, L. Cerny Oliveira, J. Chauhan, B. Dugger, and C-N. Chuah, "CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts," ICCV 2nd Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), pp. 2374-2380, , Oct 2023. Z. Lai, C. Wang, H. Gunawan, S-C. Cheung, and C-N. Chuah, "Smoothed Adaptive Weighting for Imbalanced Semi- Supervised Learning: Improve Reliability Against Unknown Distribution Data," The 39th International Conference on Machine Learning (ICML), July 17-23, 2022. Chen-Nee Chuah (UC Davis), Brittany Dugger (UC Davis), Peter Chang (UC Irvine), Michael Keiser (UCSF) Data-and Label-Efficient Hybrid Deep-Learning Frameworks for Neuropathology and Neuroradiology Image Analysis
Soheil Ghiasi (UC Davis), Herman Hedriana (UC Davis) ACE: Accurate, Computationally-Enhanced and Equitable Intrapartum Fetal Monitoring
Mahya Saffarpour, Weitai Qian, Kourosh Vali, Begum Kasap, Herman L. Hedriana, and Soheil Ghiasi. 2024. Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data. In Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC '24). R. Joarder, W. Yang, V. J. Srinivasan, and S. Ghiasi, "Inverse Modeling Approach for Fetal Oxygen Saturation Estimation with Spatial Intensity," in Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2024), paper JS4A.1. Kourosh Vali, Ata Vafi, Begum Kasap, and Soheil Ghiasi. 2023. BASS: Safe Deep Tissue Optical Sensing for Wearable Embedded Systems. ACM Transactions on Embedded Computing Systems. 22, 5s, Article 122 (October 2023). Kourosh Vali, Begum Kasap, Ata Vafi, Soheil Ghiasi, " JOIN: Optimized Light Source Activation for Deep Tissue Optical Sensing", IEEE/ACM International Conference on Cyber-Physical Systems, 2025. Weitai Qian, Mahya Saffarpour, Rishad Joarder, Begum Kasap, Kourosh Vali, Lambert Lihe, Aijun Wang, Diana Farmer, Soheil Ghiasi, "Non-Invasive Detection of Instantaneous Fetal Hypoxemia in Large Animal Model of Pregnancy", npj Biomedical Innovations (pending minor revisions), 2025.
78 Impact Report 2023 - 24 | UC NI
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