1. Ashish Sinha. Representation and Synthesis of 3D Biomedical Visual Data. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, June 2024. [bibtex-key = msc2024sinha]

1. Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, and Ghassan Hamarneh. DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors). Medical Image Analysis (MedIA), 95(103145):1-18, 2024. Keyword(s): Dermatology/Skin, Machine Learning, Deep Learning, Segmentation, Synthesis/Simulation/Augmentation, Datasets. [bibtex-key = media2024]

1. 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]



2. Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, and Ghassan Hamarneh. DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors). Technical report arxiv.2305.12621, 5 2023. Keyword(s): Dermatology/Skin, Machine Learning, Deep Learning, Segmentation, Synthesis/Simulation/Augmentation, Datasets. [bibtex-key = arxiv:2305.12621]

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