Anuja Vats
Publikasjoner
2024
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Lijin, P.;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
Santhosh Kumar, G;
Nair, Madhu S..
(2024)
PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion.
Biomedical Engineering Letters
Vitenskapelig artikkel
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Vats, Anuja;
Ahmad, Bilal;
Floor, Pål Anders;
Mohammed, Ahmed Kedir;
Pedersen, Marius;
Hovde, Øistein.
(2024)
CAPTIV8: A Comprehensive Large Scale Capsule Endoscopy Dataset For Integrated Diagnosis.
IEEE conference proceedings
IEEE conference proceedings
Vitenskapelig antologi/Konferanseserie
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P., Lijin;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
G., Santhosh Kumar;
Nair, Madhu S..
(2024)
EfficientPolypSeg: Efficient Polyp Segmentation in colonoscopy images using EfficientNet-B5 with dilated blocks and attention mechanisms.
Biomedical Signal Processing and Control
Vitenskapelig artikkel
-
Vats, Anuja;
Volgyes, David;
Vermeer, Martijn;
Pedersen, Marius;
Raja, Kiran;
Fantin, Daniele S. M..
(2024)
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations.
IEEE Transactions on Geoscience and Remote Sensing
Vitenskapelig artikkel
-
Lijin, P.;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
Kumar, Santhosh;
Nair, Madhu S..
(2024)
Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation with Self-Learning Approach.
IEEE Transactions on Artificial Intelligence (TAI)
Vitenskapelig artikkel
2023
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Vats, Anuja;
Mohammed, Ahmed Kedir;
Pedersen, Marius;
Wiratunga, Nirmalie.
(2023)
This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Vitenskapelig artikkel
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Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2023)
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
Scientific Reports
Vitenskapelig artikkel
-
Vats, Anuja.
(2023)
Deep Learning for Improved Diagnosis of
Pathologies in Wireless Capsule Endoscopy with
Focus on Data Efficiency and Transparency.
NTNU
Doktorgradsavhandling
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2023)
Concept-based reasoning in medical imaging.
International Journal of Computer Assisted Radiology and Surgery
Vitenskapelig artikkel
2022
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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.
Multimediaprodukt
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Vats, Anuja;
Raja, Kiran;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2022)
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy.
IEEE Access
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
2021
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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
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2021)
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy.
European Workshop on Visual Information Processing
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Lijin, P.;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
Santhosh Kumar, G;
Nair, Madhu S..
(2024)
PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion.
Biomedical Engineering Letters
Vitenskapelig artikkel
-
P., Lijin;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
G., Santhosh Kumar;
Nair, Madhu S..
(2024)
EfficientPolypSeg: Efficient Polyp Segmentation in colonoscopy images using EfficientNet-B5 with dilated blocks and attention mechanisms.
Biomedical Signal Processing and Control
Vitenskapelig artikkel
-
Vats, Anuja;
Volgyes, David;
Vermeer, Martijn;
Pedersen, Marius;
Raja, Kiran;
Fantin, Daniele S. M..
(2024)
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations.
IEEE Transactions on Geoscience and Remote Sensing
Vitenskapelig artikkel
-
Lijin, P.;
Ullah, Mohib;
Vats, Anuja;
Alaya Cheikh, Faouzi;
Kumar, Santhosh;
Nair, Madhu S..
(2024)
Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation with Self-Learning Approach.
IEEE Transactions on Artificial Intelligence (TAI)
Vitenskapelig artikkel
-
Vats, Anuja;
Mohammed, Ahmed Kedir;
Pedersen, Marius;
Wiratunga, Nirmalie.
(2023)
This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Vitenskapelig artikkel
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir;
Hovde, Øistein.
(2023)
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
Scientific Reports
Vitenskapelig artikkel
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2023)
Concept-based reasoning in medical imaging.
International Journal of Computer Assisted Radiology and Surgery
Vitenskapelig artikkel
-
Vats, Anuja;
Raja, Kiran;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2022)
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy.
IEEE Access
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Vats, Anuja;
Pedersen, Marius;
Mohammed, Ahmed Kedir.
(2021)
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy.
European Workshop on Visual Information Processing
Vitenskapelig artikkel
Bøker
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Vats, Anuja;
Ahmad, Bilal;
Floor, Pål Anders;
Mohammed, Ahmed Kedir;
Pedersen, Marius;
Hovde, Øistein.
(2024)
CAPTIV8: A Comprehensive Large Scale Capsule Endoscopy Dataset For Integrated Diagnosis.
IEEE conference proceedings
IEEE conference proceedings
Vitenskapelig antologi/Konferanseserie
Del av bok/rapport
-
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
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Vats, Anuja.
(2023)
Deep Learning for Improved Diagnosis of
Pathologies in Wireless Capsule Endoscopy with
Focus on Data Efficiency and Transparency.
NTNU
Doktorgradsavhandling
PRODUKT
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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.
Multimediaprodukt
Formidling
2024
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PosterAasdahl, Lene; Nilsen, Tom Ivar Lund; Bach, Kerstin; Fossen, Heidi; Bones, Anita Formo; Vats, Anuja. (2024) SmaRTWork - en app for sykmeldte med muskel- og skjelettplager. asjonalt forskningsnettverk for muskelskjeletthelse Nasjonal forskningskonferanse for muskelskjeletthelse (MUSS) , Oslo 2024-10-31 - 2024-11-01
2023
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PosterAgossou, Emmanuel; Vats, Anuja; Pedersen, Marius; Raja, Kiran. (2023) Auto-WCEBleedGen Challenge presentation, Computer Vision & Image Processing (CVIP-2023) . Prof. Nidhi Goel, IGDTUW, Delhi Computer Vision & Image Processing (CVIP-2023) , IIT Jammu, India 2023-11-04 - 2023-11-04
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Populærvitenskapelig foredragVats, Anuja; Pedersen, Marius. (2023) Discussing explainability generally and in capsule endoscopy . Nirmalie Wiratunga Workshop on Interactive Explanations of Neural Networks and Artificial Intelligence (Int-XAI) , IJCNN 2023, Gold Coast, Australia 2023-06-23 - 2023-06-23
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Populærvitenskapelig foredragVats, Anuja; Hovde, Øistein. (2023) Can we distinguish between real and artificial image from colon capsules?. Tillotts Pharma AB Mjøsforum 2023 , Lillehammer 2023-03-07 - 2023-03-07
2022
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Populærvitenskapelig foredragVats, Anuja. (2022) Towards Learning with limited supervision, the case of Wireless Capsule Endoscopy. INID Workshop Cochin Unversity of science and Technology , Cochin Unversity of science and Technology, India 2022-12-12 - 2022-12-16
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Populærvitenskapelig foredragVats, Anuja. (2022) AI and making friends with healthcare!. Forskningsdagene 2022 2022-09-21 - 2022-09-21
2021
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Faglig foredragPedersen, Marius; Vats, Anuja. (2021) Computer aided diagnoses for wireless capsule endoscopy. Université Sorbonne Paris Nord Biomedical signals: processing and mathematical analysis 2021-10-19 -
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Populærvitenskapelig foredragVats, Anuja. (2021) AI in Future Digital Health : Towards learning with limited supervision for Capsule Endoscopy. Prof. Max Bramer, University of Portsmouth AI-2021 Forty-first SGAI International Conference , Virtual 2021-12-14 - 2021-12-16
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Faglig foredragVats, Anuja. (2021) Moving towards less supervision for Wireless Capsule Endoscopy. capsnetwork kick-off event 2021-08-06 -