Gradient-Based Severity Labeling for Biomarker Classification in Oct. - Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib; Stephanie Trejo Corona; Charles C. Wykoff (ICIP, 2022)

Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification. - Yash-Yee Logan; Kiran Kokilepersaud; Gukyeong Kwon; Ghassan AlRegib; Charles C. Wykoff; Hannah Yu (ISBI, 2022)

OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. - Mohit Prabhushankar; Kiran Kokilepersaud; Yash-Yee Logan; Stephanie Trejo Corona; Ghassan AlRegib; Charles C. Wykoff (NeurIPS, 2022)

Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation. - Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib (CoRR, 2022)

Clinical Contrastive Learning for Biomarker Detection. - Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib (CoRR, 2022)

Clinical Trial Active Learning. - Zoe Fowler; Kiran Premdat Kokilepersaud; Mohit Prabhushankar; Ghassan Alregib (BCB, 2023)

FOCAL: A Cost-Aware Video Dataset for Active Learning. - Kiran Kokilepersaud; Yash-Yee Logan; Ryan Benkert; Chen Zhou; Mohit Prabhushankar; Ghassan AlRegib; Enrique Corona; Kunjan Singh; Mostafa Parchami (IEEE Big Data, 2023)

Exploiting the Distortion-Semantic Interaction in Fisheye Data. - Kiran Kokilepersaud; Mohit Prabhushankar; Yavuz Yarici; Ghassan AlRegib; Armin Parchami (CoRR, 2023)

Clinically Labeled Contrastive Learning for OCT Biomarker Classification. - Kiran Kokilepersaud; Stephanie Trejo Corona; Mohit Prabhushankar; Ghassan AlRegib; Charles C. Wykoff (IEEE J. Biomed. Health Informatics, 2023)

Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss. - Kiran Kokilepersaud; Yavuz Yarici; Mohit Prabhushankar; Ghassan AlRegib (ICIP, 2024)

Explaining Representation Learning With Perceptual Components. - Yavuz Yarici; Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib (ICIP, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib (Zenodo, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib; Ahmad Mustafa 002; Yusufjon Kumakov (CoRR, 2024)

CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. - Mohit Prabhushankar; Kiran Kokilepersaud; Jorge Quesada; Yavuz Yarici; Chen Zhou; Mohammad Alotaibi; Ghassan AlRegib (Zenodo, 2024)

Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. - Ghassan AlRegib; Mohit Prabhushankar; Kiran Kokilepersaud; Prithwijit Chowdhury; Zoe Fowler; Stephanie Trejo Corona; Lucas A. Thomaz; Angshul Majumdar (IEEE Signal Process. Mag., 2024)

HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms. - Kiran Kokilepersaud; Seulgi Kim; Mohit Prabhushankar; Ghassan AlRegib (WACV, 2025)

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics. - Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib (CoRR, 2025)

Subject Invariant Contrastive Learning for Human Activity Recognition. - Yavuz Yarici; Kiran Kokilepersaud; Mohit Prabhushankar; Ghassan AlRegib (CoRR, 2025)