1. Amir Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, and Ali Mahdavi-Amiri. SMITE: Segment Me In TimE. In International Conference on Learning Representations (ICLR), 2025. Keyword(s): Deep Learning, Machine Learning, One-/Few-Shot Learning, Segmentation, Diffusion Models, Foundational Models, Spatio-Temporal. [bibtex-key = iclr2025]



2. Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, and Ghassan Hamarneh. SLiMe: Segment Like Me. In International Conference on Learning Representations (ICLR), 2024. Keyword(s): Deep Learning, Machine Learning, One-/Few-Shot Learning, Segmentation, Diffusion Models, Foundational Models. [bibtex-key = iclr2024]



3. Ashish Sinha and Ghassan Hamarneh. TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 000-000, 2024. Keyword(s): Deep Learning, Diffusion Models, Anatomical Trees and Tubular Structures, Neural Fields, Synthesis/Simulation/Augmentation. [bibtex-key = miccai2024b]

1. Ashish Sinha and Ghassan Hamarneh. TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. Technical report arxiv.2403.08974, 3 2024. Keyword(s): Deep Learning, Diffusion Models, Anatomical Trees and Tubular Structures, Neural Fields, Synthesis/Simulation/Augmentation. [bibtex-key = arxiv:2403.08974]

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