Ayush Somani,
Ludwig Alexander Horsch,
Ajit Bopardikar,
Dilip Kumar Prasad
:
Propagating Transparency: A Deep Dive into the Interpretability of Neural Networks
Abhinanda Ranjit Punnakkal,
Gustav Godtliebsen,
Ayush Somani,
Sebastian Andres Acuna Maldonado,
Åsa birna Birgisdottir,
Dilip K. Prasad
m.fl.:
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
m.fl.:
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,
Arif Ahmed Sekh,
Ida Sundvor Opstad,
Åsa Birna Birgisdottir,
Truls Myrmel,
Balpreet Singh Ahluwalia
m.fl.:
Digital Staining of Mitochondria in Label-free Live-cell Microscopy
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
:
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
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