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 (ISBI, 2012)

CRF-driven multi-compartment geometric model. - Sepehr Farhand; Fotios M. Andreopoulos; Gavriil Tsechpenakis (ISBI, 2013)

Temporal neurite registration using hierarchical alignments. - Sepehr Farhand; Sarun Gulyanon; Nima Sharifai; Michael D. Kim 001; Akira Chiba; Gavriil Tsechpenakis (ISBI, 2016)

Fading affect bias: improving the trade-off between accuracy and efficiency in feature clustering. - Ziyin Wang; Sepehr Farhand; Gavriil Tsechpenakis (Mach. Vis. Appl., 2019)

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 (ISBI, 2023)

Foreground discovery in streaming videos with dynamic construction of content graphs. - Sepehr Farhand; Gavriil Tsechpenakis (Comput. Vis. Image Underst., 2023)

SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation. - Joseph Bae; Xueqi Guo; Halid Ziya Yerebakan; Yoshihisa Shinagawa; Sepehr Farhand (MedAGI@MICCAI, 2024)

Evaluating unsupervised contrastive learning framework for MRI sequences classification. - Yuli Wang; Kritika Iyer; Sepehr Farhand; Yoshihisa Shinagawa (CoRR, 2025)