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ORCIDKiran Kokilepersaud
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2020 – today
- 2024
[j2]Ghassan AlRegib
, Mohit Prabhushankar, Kiran Kokilepersaud, Prithwijit Chowdhury, Zoe Fowler, Stephanie Trejo Corona, Lucas A. Thomaz, Angshul Majumdar:
Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 41(4): 96-104 (2024)- [i11]Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib:
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss. CoRR abs/2406.06848 (2024) - [i10]Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Explaining Representation Learning with Perceptual Components. CoRR abs/2406.06930 (2024) - [i9]Mohit Prabhushankar, Kiran Kokilepersaud, Jorge Quesada, Yavuz Yarici, Chen Zhou, Mohammad Alotaibi, Ghassan AlRegib, Ahmad Mustafa, Yusufjon Kumakov:
CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. CoRR abs/2408.11185 (2024) - 2023
- [j1]Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff:
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. IEEE J. Biomed. Health Informatics 27(9): 4397-4408 (2023) - [c5]Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan Alregib:
Clinical Trial Active Learning. BCB 2023: 6:1-6:10 - [c4]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. IEEE Big Data 2023: 1269-1278 - [i8]Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami:
Exploiting the Distortion-Semantic Interaction in Fisheye Data. CoRR abs/2305.00079 (2023) - [i7]Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff:
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. CoRR abs/2305.15154 (2023) - [i6]Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Clinical Trial Active Learning. CoRR abs/2307.11209 (2023) - [i5]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. CoRR abs/2311.10591 (2023) - 2022
- [c3]Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff:
Gradient-Based Severity Labeling for Biomarker Classification in Oct. ICIP 2022: 3416-3420 - [c2]Yash-Yee Logan, Kiran Kokilepersaud, Gukyeong Kwon, Ghassan AlRegib, Charles C. Wykoff, Hannah Yu:
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification. ISBI 2022: 1-5 - [c1]Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff:
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. NeurIPS 2022 - [i4]Yash-Yee Logan, Kiran Kokilepersaud, Gukyeong Kwon, Ghassan AlRegib, Charles C. Wykoff, Hannah Yu:
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification. CoRR abs/2203.10622 (2022) - [i3]Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation. CoRR abs/2206.08158 (2022) - [i2]Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff:
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. CoRR abs/2209.11195 (2022) - [i1]Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Clinical Contrastive Learning for Biomarker Detection. CoRR abs/2211.05092 (2022)
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