Sepehr Farhand

According to our database, Sepehr Farhand authored at least 9 papers between 2012 and 2025.

Collaborative distances:

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

2025

Evaluating unsupervised contrastive learning framework for MRI sequences classification.

Yuli Wang, Kritika Iyer, Sepehr Farhand, Yoshihisa Shinagawa

CoRR, January, 2025

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

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

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

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

Foreground discovery in streaming videos with dynamic construction of content graphs.

Sepehr Farhand, Gavriil Tsechpenakis

Comput. Vis. Image Underst., January, 2023

SEAM-STRESS: A Weakly Supervised Framework for Interstitial Lung Disease Segmentation in Chest CT.

Xueqi Guo, Mohamad Abdi, Yoshihisa Shinagawa, Anna K. Jerebko, Sepehr Farhand

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2018

Fading Affect Bias: Improving the Trade-off Between Accuracy and Efficiency in Feature Clustering.

Ziyin Wang, Sepehr Farhand, Gavriil Tsechpenakis

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2016

Temporal neurite registration using hierarchical alignments.

Sepehr Farhand, Sarun Gulyanon, Nima Sharifai, Michael D. Kim, Akira Chiba, Gavriil Tsechpenakis

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2013

CRF-driven multi-compartment geometric model.

Sepehr Farhand, Fotios M. Andreopoulos, Gavriil Tsechpenakis

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Probabilistic multi-compartmenty geometric model: Application to cell segmentation.

Sepehr Farhand, Ramon B. Montero, Ximena Vial, Dat Tat Nguyen, Mark Reardon, Si M. Pham, Fotios M. Andreopoulos, Gavriil Tsechpenakis

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012