A graph-theoretic approach for segmentation of PET images. - Ulas Bagci; Jianhua Yao 001; Jesus Caban; Evrim Turkbey; Omer Aras; Daniel J. Mollura (EMBC, 2011)

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 001; Le Lu 001; Evrim Turkbey; Christine Kim; Ronald M. Summers (ISBI, 2014)

Abdominal lymphadenopathy detection using random forest. - Kevin M. Cherry; Shijun Wang; Evrim B. Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 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 001; Weidong Zhang 001; Evrim B. Turkbey; Shijun Wang; Christine Kim; Ronald M. Summers (Computer-Aided Diagnosis, 2014)

Multilevel image recognition using discriminative patches and kernel covariance descriptor. - Le Lu 001; Jianhua Yao 001; Evrim Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2014)

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. - Amal Farag; Le Lu 001; Evrim Turkbey; Jiamin Liu; Ronald M. Summers (ABDI@MICCAI, 2014)

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. - Holger R. Roth; Le Lu 001; Ari Seff; Kevin M. Cherry; Joanne Hoffman; Shijun Wang; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (MICCAI (1), 2014)

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. - Ari Seff; Le Lu 001; Kevin M. Cherry; Holger R. Roth; Jiamin Liu; Shijun Wang; Joanne Hoffman; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2014)

Robust automated lymph node segmentation with random forests. - David Allen; Le Lu 001; Jianhua Yao 001; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (Image Processing, 2014)

Computer aided detection of epidural masses on computed tomography scans. - Jiamin Liu; Sanket Pattanaik; Jianhua Yao 001; Evrim Turkbey; Weidong Zhang 001; Xiao Zhang; Ronald M. Summers (Comput. Medical Imaging Graph., 2014)

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 001; Jianhua Yao 001; Ronald M. Summers (ISBI, 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 (Computer-Aided Diagnosis, 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 001; Jianhua Yao 001; Ronald M. Summers (Computer-Aided Diagnosis, 2015)

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. - Holger R. Roth; Le Lu 001; Amal Farag; Hoo-Chang Shin; Jiamin Liu; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2015)

Deep convolutional networks for pancreas segmentation in CT imaging. - Holger R. Roth; Amal Farag; Le Lu 001; Evrim B. Turkbey; Ronald M. Summers (Image Processing, 2015)

Colitis detection on computed tomography using regional convolutional neural networks. - Jiamin Liu; David Wang; Zhuoshi Wei; Le Lu 001; Lauren Kim; Evrim Turkbey; Ronald M. Summers (ISBI, 2016)

Colitis detection on abdominal CT scans by rich feature hierarchies. - Jiamin Liu; Nathan Lay; Zhuoshi Wei; Le Lu 001; Lauren Kim; Evrim Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (IEEE Trans. Image Process., 2017)

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. - Leo K. Tam; Xiaosong Wang 001; Evrim Turkbey; Kevin Lu; Yuhong Wen; Daguang Xu (MICCAI (4), 2020)

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. - Riddhish Bhalodia; Ali Hatamizadeh; Leo K. Tam; Ziyue Xu 001; Xiaosong Wang 001; Evrim Turkbey; Daguang Xu (MICCAI (2), 2021)

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. - Ugur Demir; Ismail Irmakci; Elif Keles; Ahmet Topcu; Ziyue Xu 001; Concetto Spampinato; Sachin Jambawalikar; Evrim Turkbey; Baris Turkbey; Ulas Bagci (MLMI@MICCAI, 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

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; et al. (CoRR, 2024)