Search Results for author: Ugur Demir

Found 14 papers, 5 papers with code

Deep Stacked Networks with Residual Polishing for Image Inpainting

no code implementations31 Dec 2017 Ugur Demir, Gozde Unal

Then the second network modifies the repaired image to cancel the noise introduced by the first network.

Denoising Image Inpainting

Patch-Based Image Inpainting with Generative Adversarial Networks

no code implementations20 Mar 2018 Ugur Demir, Gozde Unal

Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks.

Generative Adversarial Network Image Inpainting

Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI

no code implementations12 Apr 2018 Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gozde Unal

To that end, we incorporate steerable filter responses of the generated and reference images inside a Huber function loss term.

Anatomy Generative Adversarial Network +1

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos

no code implementations23 Apr 2020 Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan Dave, Yogesh Singh Rawat, Mubarak Shah

For tubelet extraction, we propose a localization network which takes a video clip as input and spatio-temporally detects potential foreground regions at multiple scales to generate action tubelets.

Action Detection Activity Detection

TinyVIRAT: Low-resolution Video Action Recognition

1 code implementation14 Jul 2020 Ugur Demir, Yogesh S Rawat, Mubarak Shah

In real-world surveillance environments, the actions in videos are captured at a wide range of resolutions.

Action Recognition Temporal Action Localization

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

no code implementations7 Apr 2021 Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

We provide an innovative visual explanation algorithm for general purpose and as an example application, we demonstrate its effectiveness for quantifying lesions in the lungs caused by the Covid-19 with high accuracy and robustness without using dense segmentation labels.

Transformer based Generative Adversarial Network for Liver Segmentation

1 code implementation21 May 2022 Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci

The premise behind this choice is that the self-attention mechanism of the Transformers allows the network to aggregate the high dimensional feature and provide global information modeling.

Generative Adversarial Network Image Segmentation +3

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications

no code implementations14 Dec 2022 Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk Klatte, Megan Engels, Sanne Hoogenboom, Candice Bolan, Michael Wallace, Ulas Bagci

Current data augmentation techniques and transformations are well suited for improving the size and quality of natural image datasets but are not yet optimized for medical imaging.

Data Augmentation Medical Diagnosis

Domain Generalization with Correlated Style Uncertainty

1 code implementation20 Dec 2022 Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci

In this regard, style augmentation is a strong DG method taking advantage of instance-specific feature statistics containing informative style characteristics to synthetic novel domains.

Domain Generalization Retrieval

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation

1 code implementation5 Apr 2023 Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci

In real-world scenarios, however, it is common for models to encounter data from new and different domains to which they were not exposed to during training.

Domain Generalization Image Segmentation +2

Radiomics Boosts Deep Learning Model for IPMN Classification

no code implementations11 Sep 2023 Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael Wallace, Concetto Spampinato, Ulas Bagci

We test our proposed decision-fusion model in multi-center data sets of 246 multi-contrast MRI scans and obtain superior performance to the state of the art (SOTA) in this field.

Classification Decision Making

Explainable Transformer Prototypes for Medical Diagnoses

1 code implementation11 Mar 2024 Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley Allen, Aggelos K. Katsaggelos, Ulas Bagci

Deployments of artificial intelligence in medical diagnostics mandate not just accuracy and efficacy but also trust, emphasizing the need for explainability in machine decisions.

Cannot find the paper you are looking for? You can Submit a new open access paper.