Evrim Turkbey

According to our database, Evrim Turkbey authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging.

Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay, Fatemeh Dehghani Firouzabadi, Aditi Chaurasia, Mahshid Golagha, Shiva Singh, Fatemeh Homayounieh, Aryan Zahergivar, Stephanie A. Harmon, Evrim Turkbey, Rabindra Gautam, Kevin C. Ma, María Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri

CoRR, 2024

2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru

Medical Image Anal., 2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.

Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu

Medical Image Anal., 2021

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

Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth

CoRR, 2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.

Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports.

Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies.

Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling.

Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.

Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

IEEE Trans. Image Process., 2017

2016

Colitis detection on abdominal CT scans by rich feature hierarchies.

Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Colitis detection on computed tomography using regional convolutional neural networks.

Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Deep convolutional networks for pancreas segmentation in CT imaging.

Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers

Proceedings of the Medical Imaging 2015: Image Processing, 2015

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.

Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.

Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation.

Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.

Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Computer aided detection of epidural masses on computed tomography scans.

Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers

Comput. Medical Imaging Graph., 2014

Robust automated lymph node segmentation with random forests.

David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.

Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.

Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans.

Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers

Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Multilevel image recognition using discriminative patches and kernel covariance descriptor.

Le Lu, Jianhua Yao, Evrim Turkbey, Ronald M. Summers

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion.

Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Abdominal lymphadenopathy detection using random forest.

Kevin M. Cherry, Shijun Wang, Evrim B. Turkbey, Ronald M. Summers

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.

Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011

A graph-theoretic approach for segmentation of PET images.

Ulas Bagci, Jianhua Yao, Jesus Caban, Evrim Turkbey, Omer Aras, Daniel J. Mollura

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011