Search Results for author: Ilkin Isler

Found 3 papers, 1 papers with code

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification

no code implementations4 May 2023 Ilkin Isler, Debesh Jha, Curtis Lisle, Justin Rineer, Patrick Kelly, Bulent Aydogan, Mohamed Abazeed, Damla Turgut, Ulas Bagci

In this study, our goal is to show the impact of self-supervised pre-training of transformers for organ at risk (OAR) and tumor segmentation as compared to costly fully-supervised learning.

Segmentation Self-Supervised Learning +2

Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks

1 code implementation3 Feb 2022 Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci

Organ at risk (OAR) segmentation is a crucial step for treatment planning and outcome determination in radiotherapy treatments of cancer patients.

Image Segmentation Segmentation +1

Facial Expression Recognition Using Human to Animated-Character Expression Translation

no code implementations12 Oct 2019 Kamran Ali, Ilkin Isler, Charles Hughes

In this paper we present a novel Human-to-Animation conditional Generative Adversarial Network (HA-GAN) to overcome these two problems by using many (human faces) to one (animated face) mapping.

Facial Expression Recognition Facial Expression Recognition (FER) +2

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