Srishti Gautam

,

Visual Intelligence

Doctoral Research Fellow

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of

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Research field(s) of interest:

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Publications

Publications from Visual Intelligence

ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement

By authors:

Hansen, Stine; Gautam, Srishti; Salahuddin, Suaiba Amina; Kampffmeyer, Michael Christian; Jenssen, Robert

Published in:

Medical Image Analysis 2023 ;Volum 89

on

August 2, 2023

A self-guided anomaly detection-inspired few-shot segmentation network

By authors:

Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen

Published in:

CEUR Workshop Proceedings 2022, Volum 3271.

on

November 13, 2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

By authors:

Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

Published in:

NeurIPS 2022

on

September 15, 2022

Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation

By authors:

Srishti Gautam, Marina M. -C. Höhne, Stine Hansen, Robert Jenssen and Michael Kampffmeyer

Published in:

IEEE 19th International Symposium on Biomedical Imaging (ISBI), Kolkata, India, 2022

on

April 26, 2022

Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

By authors:

Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Published in:

Medical Image Analysis

on

February 11, 2022

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation

By authors:

Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen and Michael Kampffmeyer

Published in:

IEEE International Symposium on Biomedical Imaging (ISBI) 2022

on

February 1, 2022

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