Anuja Vats

18 papers A 1B 1Misc 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Chaotic Map based Compression Approach to Classification.
CoRR
Harikrishnan N. B, Anuja Vats, Nithin Nagaraj, Marius Pedersen
2025 J jnl
Influence of color correction on pathology detection in Capsule Endoscopy.
CoRR
Bidossessi Emmanuel Agossou, Marius Pedersen, Kiran B. Raja, Anuja Vats, Pål Anders Floor
2025 A conf
Uncertainty-Aware Regularization for Image-to-Image Translation.
WACV
Anuja Vats, Ivar Farup, Marius Pedersen, Kiran B. Raja
2024 B conf
CAPTIV8: A Comprehensive Large Scale Capsule Endoscopy Dataset For Integrated Diagnosis.
ICIP
Anuja Vats, Bilal Ahmad, Pål Anders Floor, Ahmed Kedir Mohammed, Marius Pedersen, Øistein Hovde
2024 J jnl
Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach.
IEEE Trans. Artif. Intell.
Lijin P., Mohib Ullah, Anuja Vats, Faouzi Alaya Cheikh, G. Santhosh Kumar, Madhu S. Nair
2024 — conf
Influence of Color Correction on Pathology Detection in Capsule Endoscopy.
ICPR (Workshops and Challenges, 5)
Bidossessi Emmanuel Agossou, Marius Pedersen, Kiran B. Raja, Anuja Vats, Pål Anders Floor
2024 J jnl
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations.
IEEE Trans. Geosci. Remote. Sens.
Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay
2024 J jnl
Uncertainty-Aware Regularization for Image-to-Image Translation.
CoRR
Anuja Vats, Ivar Farup, Marius Pedersen, Kiran B. Raja
2023 J jnl
Concept-based reasoning in medical imaging.
Int. J. Comput. Assist. Radiol. Surg.
Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed
2023 J jnl
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
CoRR
Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed, Øistein Hovde
2023 J jnl
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations.
CoRR
Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran B. Raja, Daniele S. M. Fantin, Jacob Alexander Hay
2023 Misc conf
This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy.
ICASSP
Anuja Vats, Ahmed Kedir Mohammed, Marius Pedersen, Nirmalie Wiratunga
2022 J jnl
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels.
CoRR
Anuja Vats, Ahmed Kedir Mohammed, Marius Pedersen
2022 J jnl
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy.
IEEE Access
Anuja Vats, Kiran B. Raja, Marius Pedersen, Ahmed Kedir Mohammed
2022 J jnl
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy.
CoRR
Anuja Vats, Ahmed Kedir Mohammed, Marius Pedersen, Nirmalie Wiratunga
2021 — conf
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy.
EUVIP
Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed
2021 — conf
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy.
MICCAI (7)
Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed, Øistein Hovde
2021 J jnl
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy.
CoRR
Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed, Øistein Hovde