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Halid Ziya Yerebakan
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2020 – today
- 2024
- [c8]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez:
Real Time Multi Organ Classification on Computed Tomography Images. DEMI@MICCAI 2024: 1-10 - [c7]Joseph Bae, Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Sepehr Farhand:
SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation. MedAGI@MICCAI 2024: 134-142 - [i6]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Gerardo Hermosillo Valadez:
Real Time Multi Organ Classification on Computed Tomography Images. CoRR abs/2404.18731 (2024) - 2023
- [c6]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez:
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 59-68 - [i5]Halid Ziya Yerebakan, Gerardo Hermosillo Valadez:
Deep Generative Neural Embeddings for High Dimensional Data Visualization. CoRR abs/2302.10801 (2023) - [i4]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez:
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies. CoRR abs/2308.07337 (2023) - [i3]Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo:
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. CoRR abs/2310.12989 (2023) - 2021
- [c5]Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu:
MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports. IEEE BigData 2021: 1582-1588 - 2020
- [c4]Colin B. Hansen, Yiyuan Zhao, Halid Ziya Yerebakan, Luca Bogoni, Anna K. Jerebko:
False positive reduction of vasculature for pulmonary nodule detection. Medical Imaging: Computer-Aided Diagnosis 2020 - [i2]Halid Ziya Yerebakan, Parmeet S. Bhatia, Yoshihisa Shinagawa:
Supervised Understanding of Word Embeddings. CoRR abs/2006.13299 (2020)
2010 – 2019
- 2018
- [c3]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, Yiqiang Zhan:
Document Representation Learning for Patient History Visualization. COLING (Demos) 2018: 30-33 - 2017
- [j2]Halid Ziya Yerebakan, Murat Dundar:
Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models. Pattern Recognit. Lett. 90: 22-27 (2017) - 2016
- [i1]Halid Ziya Yerebakan, Fitsum A. Reda, Yiqiang Zhan, Yoshihisa Shinagawa:
Hierarchical Latent Word Clustering. CoRR abs/1601.05472 (2016) - 2014
- [j1]Murat Dundar, Ferit Akova, Halid Ziya Yerebakan, Bartek Rajwa:
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects. BMC Bioinform. 15: 314 (2014) - [c2]Murat Dundar, Halid Ziya Yerebakan, Bartek Rajwa:
Batch discovery of recurring rare classes toward identifying anomalous samples. KDD 2014: 223-232 - [c1]Halid Ziya Yerebakan, Bartek Rajwa, Murat Dundar:
The Infinite Mixture of Infinite Gaussian Mixtures. NIPS 2014: 28-36
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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