Halid Ziya Yerebakan

According to our database, Halid Ziya Yerebakan authored at least 20 papers between 2014 and 2026.

Collaborative distances:

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

2026

MALSIV: Multi-Agent Multi-Landmark Searching with Implicit Voting for Fast and Robust Anatomical Landmark Localization in MR Scans.

Xueqi Guo, Halid Ziya Yerebakan, Kritika Iyer, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Fast Multi-Organ Fine Segmentation in CT Images with Hierarchical Sparse Sampling and Residual Transformer.

Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Kritika Iyer, Gerardo Hermosillo Valadez

CoRR, November, 2025

Consistent Point Matching.

Halid Ziya Yerebakan, Gerardo Hermosillo Valadez

CoRR, July, 2025

BodyGPS: Anatomical Positioning System.

Halid Ziya Yerebakan, Kritika Iyer, Xueqi Guo, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez

CoRR, May, 2025

Unsupervised Abnormality Segmentation in Chest CT with Anatomy-Guided Latent Diffusion Model and Adaptive Thresholding.

Xueqi Guo, Yoshihisa Shinagawa, Sepehr Farhand, Halid Ziya Yerebakan, Kritika Iyer, Matthias Wolf, Gerardo Hermosillo Valadez

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Automatic Mapping of Anatomical Landmarks from Free-Text Using Large Language Models: Insights from Llama-2.

Mohamad Abdi, Gerardo Hermosillo Valadez, Halid Ziya Yerebakan

CoRR, 2024

Real Time Multi Organ Classification on Computed Tomography Images.

Halid Ziya Yerebakan, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation.

Joseph Bae, Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Sepehr Farhand

Proceedings of the Foundation Models for General Medical AI, 2024

2023

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study.

Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo

CoRR, 2023

Deep Generative Neural Embeddings for High Dimensional Data Visualization.

Halid Ziya Yerebakan, Gerardo Hermosillo Valadez

CoRR, 2023

A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies.

Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2021

MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports.

Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Supervised Understanding of Word Embeddings.

Halid Ziya Yerebakan, Parmeet S. Bhatia, Yoshihisa Shinagawa

CoRR, 2020

False positive reduction of vasculature for pulmonary nodule detection.

Colin B. Hansen, Yiyuan Zhao, Halid Ziya Yerebakan, Luca Bogoni, Anna K. Jerebko

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018

Document Representation Learning for Patient History Visualization.

Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, Yiqiang Zhan

Proceedings of the COLING 2018, 2018

2017

Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models.

Halid Ziya Yerebakan, Murat Dundar

Pattern Recognit. Lett., 2017

2016

Hierarchical Latent Word Clustering.

Halid Ziya Yerebakan, Fitsum A. Reda, Yiqiang Zhan, Yoshihisa Shinagawa

CoRR, 2016

2014

A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

Murat Dundar, Ferit Akova, Halid Ziya Yerebakan, Bartek Rajwa

BMC Bioinform., 2014

The Infinite Mixture of Infinite Gaussian Mixtures.

Halid Ziya Yerebakan, Bartek Rajwa, Murat Dundar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Batch discovery of recurring rare classes toward identifying anomalous samples.

Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014