Anuja Vats
Publications
2023
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Vats, Anuja.
(2023)
Deep Learning for Improved Diagnosis of
Pathologies in Wireless Capsule Endoscopy with
Focus on Data Efficiency and Transparency.
NTNU
Doctoral dissertation
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2023)
Concept-based reasoning in medical imaging.
International Journal of Computer Assisted Radiology and Surgery
Academic article
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2023)
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
Scientific Reports
Academic article
2022
-
Jaccheri, Maria Letizia;
Kaloudi, Nektaria;
Namazi, Elnaz;
Zhang, Jin;
Vats, Anuja;
Michaelsen, Bjørn.
(2022)
NTNU IDUN - Group 5 - Considering AI in IoT and smart cities by focusing on safety and security challenges
Department of Computer Science.
Multimedia product
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Vats, Anuja;
Mohammed, Ahmed Kedir;
Pedersen, Marius.
(2022)
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels.
Scientific Reports
Academic article
-
Vats, Anuja;
Raja, Kiran;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2022)
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy.
IEEE Access
Academic article
2021
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2021)
Learning More for Free-A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy.
Springer
Academic chapter/article/Conference paper
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2021)
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy.
European Workshop on Visual Information Processing
Academic article
Journal publications
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2023)
Concept-based reasoning in medical imaging.
International Journal of Computer Assisted Radiology and Surgery
Academic article
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2023)
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
Scientific Reports
Academic article
-
Vats, Anuja;
Mohammed, Ahmed Kedir;
Pedersen, Marius.
(2022)
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels.
Scientific Reports
Academic article
-
Vats, Anuja;
Raja, Kiran;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2022)
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy.
IEEE Access
Academic article
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2021)
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy.
European Workshop on Visual Information Processing
Academic article
Part of book/report
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2021)
Learning More for Free-A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy.
Springer
Academic chapter/article/Conference paper
Report
-
Vats, Anuja.
(2023)
Deep Learning for Improved Diagnosis of
Pathologies in Wireless Capsule Endoscopy with
Focus on Data Efficiency and Transparency.
NTNU
Doctoral dissertation
PRODUKT
-
Jaccheri, Maria Letizia;
Kaloudi, Nektaria;
Namazi, Elnaz;
Zhang, Jin;
Vats, Anuja;
Michaelsen, Bjørn.
(2022)
NTNU IDUN - Group 5 - Considering AI in IoT and smart cities by focusing on safety and security challenges
Department of Computer Science.
Multimedia product
Media
2021
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Academic lectureVats, Anuja. (2021) Towards learning with limited supervision for Capsule Endoscopy. AI-2021 Forty-first SGAI International Conference on Artificial Intelligence 2021-12-14 - 2021-12-16
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LecturePedersen, Marius; Vats, Anuja. (2021) Computer aided diagnoses for wireless capsule endoscopy. Université Sorbonne Paris Nord Biomedical signals: processing and mathematical analysis 2021-10-19 -