Ayush Somani
Ayush Somani,
Dilip K. Prasad
:
Rethinking Explainer Trust: A Position on the Inconsistencies of Visual Explanations in Weakly Supervised Segmentation
Ayush Somani,
Arif Ahmed Sekh,
Dilip K. Prasad
:
Explain with Confidence: Fusing Saliency Maps for Faithful and Interpretable Weakly-Supervised Model
Ayush Somani,
Anshul Gupta,
Arif Ahmed Sekh,
Krishna Agarwal,
Dilip K. Prasad
:
Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging
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
Ayush Somani,
Pragyan Banerjee,
Manu Rastogi,
Anowarul Habib,
Krishna Agarwal,
Dilip Kumar Prasad
:
Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
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
Divij Singh,
Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
:
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation
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
Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
:
Interpretability in Deep Learning
Ayush Somani
:
The Role of LLMs and Generative AI in Transforming Biological Research
2023 ARKIV
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 ARKIV
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