Search Results for author: Baris Turkbey

Found 14 papers, 3 papers with code

Distance Map Supervised Landmark Localization for MR-TRUS Registration

no code implementations11 Oct 2022 Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Pingkun Yan

We then use the predicted landmarks to generate the affine transformation matrix, which outperforms the clinicians' manual rigid registration by a significant margin in terms of TRE.

Image Registration

Cross-modal Attention for MRI and Ultrasound Volume Registration

1 code implementation9 Jul 2021 Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan

In the past few years, convolutional neural networks (CNNs) have been proved powerful in extracting image features crucial for image registration.

Image Registration

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

no code implementations20 Apr 2021 Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan Yuille, Holger Roth

In this work, we design a new data-driven approach, namely Auto-FedAvg, where aggregation weights are dynamically adjusted, depending on data distributions across data silos and the current training progress of the models.

Federated Learning Image Segmentation +3

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.

Multi-Domain Image Completion for Random Missing Input Data

no code implementations10 Jul 2020 Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter Choyke, Bradford Wood, Daguang Xu

Multi-domain data are widely leveraged in vision applications taking advantage of complementary information from different modalities, e. g., brain tumor segmentation from multi-parametric magnetic resonance imaging (MRI).

Brain Tumor Segmentation Disentanglement +1

Multi-view Framework for Histomorphologic Classification

no code implementations MIDL 2019 Stephanie A Harmon, Samira Masoudi, Thomas Sanford, Sherif Mehralivand, Stephanie Walker, Peter Choyke, Brad Wood, Peter Pinto, Jesse McKenney, Baris Turkbey

Current routine histopathologic evaluation of prostate cancer does not fully account for some individual morphology patterns associated with poor outcome.

Classification

Deeply-Supervised CNN for Prostate Segmentation

no code implementations22 Mar 2017 Qikui Zhu, Bo Du, Baris Turkbey, Peter L . Choyke, Pingkun Yan

Prostate segmentation from Magnetic Resonance (MR) images plays an important role in image guided interven- tion.

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