| The infinite mixture of infinite Gaussian mixtures HZ Yerebakan, B Rajwa, M Dundar Advances in neural information processing systems 27, 2014 | 45 | 2014 |
| A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects M Dundar, F Akova, HZ Yerebakan, B Rajwa BMC Bioinformatics, 2014 | 45 | 2014 |
| Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models HZ Yerebakan, M Dundar Pattern Recognition Letters 90, 22-27, 2017 | 17 | 2017 |
| Fhir-gpt enhances health interoperability with large language models Y Li, H Wang, HZ Yerebakan, Y Shinagawa, Y Luo NEJM AI 1 (8), AIcs2300301, 2024 | 5 | 2024 |
| Reduction in radiologist interpretation time of serial CT and MR imaging findings with deep learning identification of relevant priors, series and finding locations T Weikert, HI Litt, WH Moore, M Abed, L Azour, AM Noor, L Friebe, ... Academic Radiology 30 (10), 2269-2279, 2023 | 3 | 2023 |
| Encoding textual information for text analysis H Yerebakan, Y Shinagawa US Patent 11,645,447, 2023 | 3 | 2023 |
| Document representation learning for patient history visualization HZ Yerebakan, Y Shinagawa, P Bhatia, Y Zhan Proceedings of the 27th International Conference on Computational …, 2018 | 3 | 2018 |
| Hierarchical Latent Word Clustering HZ Yerebakan, F Reda, Y Zhan, Y Shinagawa Bayesian Nonparametrics: The Next Generation NIPS 2015 Workshop, 2015 | 3 | 2015 |
| Batch discovery of recurring rare classes toward identifying anomalous samples M Dundar, HZ Yerebakan, B Rajwa Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 3 | 2014 |
| A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies HZ Yerebakan, Y Shinagawa, M Ranganath, S Allen-Raffl, GH Valadez https://arxiv.org/abs/2308.07337, 2023 | 1 | 2023 |
| Determining a body region represented by medical imaging data Y Shinagawa, H Yerebakan, GH Valadez, S Allen-Raffl, M Ranganath US Patent App. 17/806,159, 2023 | 1 | 2023 |
| Method and apparatus for segmenting a medical text report into sections S Chowdhury, H Yerebakan, Y Shinagawa US Patent App. 17/713,673, 2022 | 1 | 2022 |
| Clinical decision support H Yerebakan, Y Shinagawa, A Jerebko, K Zeng, S Allen-Raffl, ... US Patent App. 17/388,128, 2022 | 1 | 2022 |
| Medtextseg: A deep dual sequential model for section segmentation in medical reports S Chowdhury, H Yerebakan, Y Shinagawa, SY Philip 2021 IEEE International Conference on Big Data (Big Data), 1582-1588, 2021 | 1 | 2021 |
| False positive reduction of vasculature for pulmonary nodule detection CB Hansen, Y Zhao, H Yerebakan, L Bogoni, A Jerebko Medical Imaging 2020: Computer-Aided Diagnosis 11314, 534-540, 2020 | 1 | 2020 |
| Method for automated processing of volumetric medical images H Yerebakan, GH Valadez, Y Shinagawa US Patent App. 18/522,770, 2024 | | 2024 |
| Real Time Multi Organ Classification on Computed Tomography Images HZ Yerebakan, Y Shinagawa, GH Valadez arXiv preprint arXiv:2404.18731, 2024 | | 2024 |
| System for medical data analysis H Yerebakan, A Jerebko US Patent App. 18/354,031, 2024 | | 2024 |
| Method for processing medical images Y Shinagawa, H Yerebakan, GH Valadez, M Ranganath, S Allen-Raffl US Patent App. 18/312,802, 2024 | | 2024 |
| Method for identifying a type of organ in a volumetric medical image H Yerebakan, A Jerebko, Y Shinagawa, GH Valadez US Patent App. 18/312,822, 2024 | | 2024 |
Murat DundarEli Lilly & CompanyDirección de correo verificada de iupui.edu
