Aytekin Oto

18 papers B 1C 1Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
VHU-Net: Variational hadamard U-Net for body MRI bias field correction.
Medical Image Anal.
Xin Zhu, Ahmet Enis Çetin, Gorkem Durak, Batuhan Gündogdu, Ziliang Hong, Hongyi Pan, Ertugrul Aktas, Elif Keles, Hatice Savas, Aytekin Oto, Hiten D. Patel, Adam B. Murphy, Ashley Ross, Frank H. Miller, Baris Turkbey, Ulas Bagci
2025 J jnl
Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis.
CoRR
Chacha Chen, Han Liu, Jiamin Yang, Benjamin M. Mervak, Bora Kalaycioglu, Grace Lee, Emre Cakmakli, Matteo Bonatti, Sridhar Pudu, Osman Kahraman, Gul Gizem Pamuk, Aytekin Oto, Aritrick Chatterjee, Chenhao Tan
2025 J jnl
Next-Generation Advances in Prostate Cancer Imaging and Artificial Intelligence Applications.
J. Imaging
Kathleen H. Miao, Julia H. Miao, Mark Finkelstein, Aritrick Chatterjee, Aytekin Oto
2019 — conf
Application of open-source computational tools to focal laser ablation of the prostate.
Image-Guided Procedures
Kyle MacNeil, Aritrick Chatterjee, Clare M. Tempany, Aytekin Oto, Andriy Fedorov
2016 C conf
Features extraction of prostate with graph spectral method for prostate cancer detection.
SNPD
Weiwei Du, Yi-Peng Liu, Shiyang Wang, Yahui Peng, Aytekin Oto
2016 J jnl
In vivo MRI based prostate cancer localization with random forests and auto-context model.
Comput. Medical Imaging Graph.
Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen
2015 — conf
Graph-based prostate extraction in T2-weighted images for prostate cancer detection.
FSKD
Weiwei Du, Shiyang Wang, Aytekin Oto, Yahui Peng
2014 — conf
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model.
MLMI
Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen
2014 — conf
Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection.
Computer-Aided Diagnosis
Yahui Peng, Yulei Jiang, Aytekin Oto
2013 — conf
A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer.
Computer-Aided Diagnosis
Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger, Scott Eggener, Aytekin Oto
2013 — conf
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.
IPMI
Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen
2013 — conf
Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.
EMBC
Kenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori
2013 J jnl
Cross-Device Automated Prostate Cancer Localization With Multiparametric MRI.
IEEE Trans. Image Process.
Yusuf Artan, Aytekin Oto, Imam Samil Yetik
2013 — conf
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation.
MICCAI (2)
Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen
2012 — conf
Cross-device automated prostate cancer localization with multiparametric MRI.
EMBC
Yusuf Artan, Aytekin Oto, Imam Samil Yetik
2011 — conf
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study.
Computer-Aided Diagnosis
Jianwu Xu, Kenji Suzuki, Masatoshi Hori, Aytekin Oto, Richard Baron
2006 B conf
Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods.
Image Processing
Metin N. Gurcan, Randy Ernst, Aytekin Oto, Steve Worrell, Jeffrey W. Hoffmeister, Steve Rogers
2003 J jnl
Transition from Film to Electronic Media in the First-Year Medical School Gross Anatomy Lab.
J. Digit. Imaging
Randy D. Ernst, P. Sarai, Thomas K. Nishino, T. Collins, Aytekin Oto, Alberto Hernandez, Eric M. Walser, Gregory Chaljub