Ayush Somani


PhD Fellow


  • Abhinanda Ranjit Punnakkal, Gustav Godtliebsen, Ayush Somani, Sebastian Andres Acuna Maldonado, Åsa birna Birgisdottir, Dilip K. Prasad et al.:
    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    Journal of Visualized Experiments 2023 ARKIV / DOI
  • Ayush Somani, Pragyan Banerjee, Manu Rastogi, Anowarul Habib, Krishna Agarwal, Dilip Kumar Prasad :
    Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 ARKIV / FULLTEKST / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
    Biomedical Optics Express 2022 ARKIV / DOI
  • Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation
    IEEE International Symposium on Biomedical Imaging 2022 ARKIV / DOI
  • Ayush Somani, Divij Singh, Alexander Horsch, Dilip K. Prasad :
    T-MIS: Transparency Adaptation in Medical Image Segmentation
    Nordic Machine Intelligence (NMI) 2021 DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Digital Staining of Mitochondria in Label-free Live-cell Microscopy
    Springer 2021 DOI
  • Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Interpretability in Deep Learning
    Springer 2023 FULLTEKST
  • Ayush Somani :
    The Role of LLMs and Generative AI in Transforming Biological Research
    2023
  • Anum Masood, Ayush Somani, Haroon Khan, Pavitra Chauhan :
    Challenge of RRI Implementation - A Boardgame to Bridge the Gap between Intentions and Outcomes
    2022 FULLTEKST
  • Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Performance improvement in deep learning models for outdoor semantic segmentation for autonomous driving for unstructured environment
    2021

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    Research interests

    A machine learning aficionado with strong technical, management and interpersonal skills who loves solving interesting problems, brainstorming and transforming complication into simplicity.



    Member of project