Gorkem Can Ates

According to our database, Gorkem Can Ates authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation.

Yu Xin, Gorkem Can Ates, Jun Ma, Sumin Kim, Ying Zhang, Kaleb E. Smith, Kuang Gong, Wei Shao

CoRR, April, 2026

Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis.

Yu Xin, Gorkem Can Ates, Kuang Gong, Wei Shao

IEEE J. Biomed. Health Informatics, March, 2026

2025

DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions.

Gorkem Can Ates, Kuang Gong, Wei Shao

CoRR, February, 2025

Text3DSAM: Text-Guided 3D Medical Image Segmentation Using SAM-Inspired Architecture.

Yu Xin, Gorkem Can Ates, Wei Shao

Proceedings of the Foundation Models for 3D Biomedical Image Segmentation, 2025

2024

Convolutional encoder-decoder network using transfer learning for topology optimization.

Gorkem Can Ates, Recep M. Gorguluarslan

Neural Comput. Appl., 2024

Robust residual convolutional neural network based pupil tracking for low-computational power applications.

Gorkem Can Ates, Caglar Coskunpinar, David Tse, Daniel Pelaez, Emrah Celik

Eng. Appl. Artif. Intell., 2024

2023

Dual Cross-Attention for medical image segmentation.

Gorkem Can Ates, Prasoon Mohan, Emrah Celik

Eng. Appl. Artif. Intell., November, 2023

2022

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures.

Recep M. Gorguluarslan, Gorkem Can Ates, O. Utku Gungor, Yusuf Yamaner

J. Comput. Inf. Sci. Eng., 2022