Registration of Free-Hand Ultrasound and MRI of Carotid Arteries through Combination of Point-Based and Intensity-Based Algorithms. - Diego D. B. Carvalho; Stefan Klein 001; Zeynettin Akkus; Gerrit L. ten Kate; Hui Tang; Mariana Selwaness; Arend F. L. Schinkel; Johan G. Bosch; Aad van der Lugt; Wiro J. Niessen (WBIR, 2012)

Estimating 3D lumen centerlines of carotid arteries in free-hand acquisition ultrasound. - Diego D. B. Carvalho; Stefan Klein 001; Zeynettin Akkus; Gerrit L. ten Kate; Arend F. L. Schinkel; Johan G. Bosch; Aad van der Lugt; Wiro J. Niessen (Int. J. Comput. Assist. Radiol. Surg., 2012)

Atherosclerotic carotid lumen segmentation in combined B-mode and contrast enhanced ultrasound images. - Zeynettin Akkus; Diego D. B. Carvalho; Stefan Klein 001; Stijn C. H. van den Oord; Arend F. L. Schinkel; Nico de Jong; Antonius F. W. van der Steen; Johan G. Bosch (Image Processing, 2014)

Nonrigid motion compensation in B-mode and contrast enhanced ultrasound image sequences of the carotid artery. - Diego D. B. Carvalho; Zeynettin Akkus; Johan G. Bosch; Stijn C. H. van den Oord; Wiro J. Niessen; Stefan Klein 001 (Image Processing, 2014)

Carotid Intraplaque Neovascularization Quantification Software (CINQS). - Zeynettin Akkus; Gerard van Burken; Stijn C. H. van den Oord; Arend F. L. Schinkel; Nico de Jong; Antonius F. W. van der Steen; Johan G. Bosch (IEEE J. Biomed. Health Informatics, 2015)

Lumen Segmentation and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque. - Diego D. B. Carvalho; Zeynettin Akkus; Stijn C. H. van den Oord; Arend F. L. Schinkel; Antonius F. W. van der Steen; Wiro J. Niessen; Johan G. Bosch; Stefan Klein 001 (IEEE Trans. Medical Imaging, 2015)

Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning. - Zeynettin Akkus; Issa Ali; Jirí Sedlár; Timothy L. Kline; Jay P. Agrawal; Ian F. Parney; Caterina Giannini; Bradley J. Erickson (CoRR, 2016)

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence. - Zeynettin Akkus; Issa Ali; Jirí Sedlár; Jay P. Agrawal; Ian F. Parney; Caterina Giannini; Bradley J. Erickson (J. Digit. Imaging, 2017)

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. - Zeynettin Akkus; Alfiia Galimzianova; Assaf Hoogi; Daniel L. Rubin; Bradley J. Erickson (J. Digit. Imaging, 2017)

Toolkits and Libraries for Deep Learning. - Bradley J. Erickson; Panagiotis Korfiatis; Zeynettin Akkus; Timothy Kline; Kenneth Philbrick (J. Digit. Imaging, 2017)

Extraction of brain tissue from CT head images using fully convolutional neural networks. - Zeynettin Akkus; Petro M. Kostandy; Kenneth A. Philbrick; Bradley J. Erickson (Image Processing, 2018)

Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI. - Youngoh Bae; Kunaraj Kumarasamy; Issa Ali; Panagiotis Korfiatis; Zeynettin Akkus; Bradley J. Erickson (J. Digit. Imaging, 2018)

Reduction of unnecessary thyroid biopsies using deep learning. - Zeynettin Akkus; Arunnit Boonrod; Mahfuzur R. Siddiquee; Kenneth A. Philbrick; Marius N. Stan; Regina M. Castro; Dana Erickson; Matthew R. Callstrom; Bradley J. Erickson (Image Processing, 2019)

Interactive segmentation of medical images through fully convolutional neural networks. - Tomas Sakinis; Fausto Milletari; Holger Roth; Panagiotis Korfiatis; Petro M. Kostandy; Kenneth Philbrick; Zeynettin Akkus; Ziyue Xu 001; Daguang Xu; Bradley J. Erickson (CoRR, 2019)

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. - Kenneth A. Philbrick; Alexander D. Weston; Zeynettin Akkus; Timothy L. Kline; Panagiotis Korfiatis; Tomas Sakinis; Petro M. Kostandy; Arunnit Boonrod; Atefeh Zeinoddini; Naoki Takahashi; Bradley J. Erickson (J. Digit. Imaging, 2019)

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning. - Mohamed Y. Elwazir; Zeynettin Akkus; Didem Oguz; Zi Ye; Jae K. Oh (BIBE, 2020)

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning. - Mohamed Y. Elwazir; Zeynettin Akkus; Didem Oguz; Jae K. Oh (CoRR, 2020)

Robust brain extraction tool for CT head images. - Zeynettin Akkus; Petro M. Kostandy; Kenneth A. Philbrick; Bradley J. Erickson (Neurocomputing, 2020)

Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images. - Zeynettin Akkus; Bae-Hyung Kim; Rohit Nayak; Adriana Gregory; Azra Alizad; Mostafa Fatemi (Sensors, 2020)

Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models. - Hussien Al-Asi; Jordan P. Reynolds; Shweta Agarwal; Bryan J. Dangott; Aziza Nassar; Zeynettin Akkus (CoRR, 2025)

Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach. - Meredith VandeHaar; M. Clinch; I. Yilmaz; M. A. Rahman; Y. Xiao; F. Dogany; H. M. Alazab; Aziza Nassar; Zeynettin Akkus; Bryan J. Dangott (CoRR, 2025)