Search Results for author: Kiran Kokilepersaud

Found 7 papers, 3 papers with code

FOCAL: A Cost-Aware Video Dataset for Active Learning

1 code implementation17 Nov 2023 Kiran Kokilepersaud, Yash-yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami

In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting.

Active Learning

Clinical Trial Active Learning

1 code implementation20 Jul 2023 Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

There exists two types of clinical trials: retrospective and prospective.

Active Learning

Clinically Labeled Contrastive Learning for OCT Biomarker Classification

no code implementations24 May 2023 Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles Wykoff

We exploit this relationship by using the clinical data as pseudo-labels for our data without biomarker labels in order to choose positive and negative instances for training a backbone network with a supervised contrastive loss.

Classification Contrastive Learning

Exploiting the Distortion-Semantic Interaction in Fisheye Data

no code implementations28 Apr 2023 Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami

In this work, we present a methodology to shape a fisheye-specific representation space that reflects the interaction between distortion and semantic context present in this data modality.

object-detection Object Detection +1

Clinical Contrastive Learning for Biomarker Detection

no code implementations9 Nov 2022 Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

This is accomplished by leveraging the larger amount of clinical data as pseudo-labels for our data without biomarker labels in order to choose positive and negative instances for training a backbone network with a supervised contrastive loss.

Contrastive Learning

OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics

1 code implementation22 Sep 2022 Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles Wykoff

The dataset consists of 1268 near-IR fundus images each with at least 49 OCT scans, and 16 biomarkers, along with 4 clinical labels and a disease diagnosis of DR or DME.

Time Series Analysis

Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation

no code implementations16 Jun 2022 Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

In seismic interpretation, pixel-level labels of various rock structures can be time-consuming and expensive to obtain.

Contrastive Learning Position +2

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