Zeynettin Akkus

22 papers B 4C 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
SegRenal: AI-Driven segmentation of frozen sections in transplant kidney biopsies - A comparative analysis of deep learning models.
Comput. Methods Programs Biomed.
Ibrahim Yilmaz, Heba M. Alazab, Fatih Doganay, Bryan J. Dangott, Sam Albadri, Aziza Nassar, Fadi Salem, Zeynettin Akkus
2025 J jnl
Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models.
CoRR
Hussien Al-Asi, Jordan P. Reynolds, Shweta Agarwal, Bryan J. Dangott, Aziza Nassar, Zeynettin Akkus
2025 J jnl
Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach.
CoRR
Meredith VandeHaar, M. Clinch, I. Yilmaz, M. A. Rahman, Y. Xiao, F. Dogany, Heba M. Alazab, Aziza Nassar, Zeynettin Akkus, Bryan J. Dangott
2020 C conf
Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.
BIBE
Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Zi Ye, Jae K. Oh
2020 J jnl
Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.
CoRR
Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh
2020 J jnl
Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images.
Sensors
Zeynettin Akkus, Bae-Hyung Kim, Rohit Nayak, Adriana Gregory, Azra Alizad, Mostafa Fatemi
2020 J jnl
Robust brain extraction tool for CT head images.
Neurocomputing
Zeynettin Akkus, Petro M. Kostandy, Kenneth A. Philbrick, Bradley J. Erickson
2019 J jnl
Interactive segmentation of medical images through fully convolutional neural networks.
CoRR
Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
2019 J jnl
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
J. Digit. Imaging
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
2019 B conf
Reduction of unnecessary thyroid biopsies using deep learning.
Image Processing
Zeynettin Akkus, Arunnit Boonrod, Mahfuzur R. Siddiquee, Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Dana Erickson, Matthew R. Callstrom, Bradley J. Erickson
2018 J jnl
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
J. Digit. Imaging
Youngoh Bae, Kunaraj Kumarasamy, Issa Ali, Panagiotis Korfiatis, Zeynettin Akkus, Bradley J. Erickson
2018 B conf
Extraction of brain tissue from CT head images using fully convolutional neural networks.
Image Processing
Zeynettin Akkus, Petro M. Kostandy, Kenneth A. Philbrick, Bradley J. Erickson
2017 J jnl
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
J. Digit. Imaging
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
2017 J jnl
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.
J. Digit. Imaging
Zeynettin Akkus, Issa Ali, Jirí Sedlár, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
2017 J jnl
Toolkits and Libraries for Deep Learning.
J. Digit. Imaging
Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy Kline, Kenneth Philbrick
2016 J jnl
Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning.
CoRR
Zeynettin Akkus, Issa Ali, Jirí Sedlár, Timothy L. Kline, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
2015 J jnl
Carotid Intraplaque Neovascularization Quantification Software (CINQS).
IEEE J. Biomed. Health Informatics
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
2015 J jnl
Lumen Segmentation and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque.
IEEE Trans. Medical Imaging
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
2014 B conf
Atherosclerotic carotid lumen segmentation in combined B-mode and contrast enhanced ultrasound images.
Image Processing
Zeynettin Akkus, Diego D. B. Carvalho, Stefan Klein, Stijn C. H. van den Oord, Arend F. L. Schinkel, Nico de Jong, Antonius F. W. van der Steen, Johan G. Bosch
2014 B conf
Nonrigid motion compensation in B-mode and contrast enhanced ultrasound image sequences of the carotid artery.
Image Processing
Diego D. B. Carvalho, Zeynettin Akkus, Johan G. Bosch, Stijn C. H. van den Oord, Wiro J. Niessen, Stefan Klein
2012 J jnl
Estimating 3D lumen centerlines of carotid arteries in free-hand acquisition ultrasound.
Int. J. Comput. Assist. Radiol. Surg.
Diego D. B. Carvalho, Stefan Klein, Zeynettin Akkus, Gerrit L. ten Kate, Arend F. L. Schinkel, Johan G. Bosch, Aad van der Lugt, Wiro J. Niessen
2012 — conf
Registration of Free-Hand Ultrasound and MRI of Carotid Arteries through Combination of Point-Based and Intensity-Based Algorithms.
WBIR
Diego D. B. Carvalho, Stefan Klein, Zeynettin Akkus, Gerrit L. ten Kate, Hui Tang, Mariana Selwaness, Arend F. L. Schinkel, Johan G. Bosch, Aad van der Lugt, Wiro J. Niessen