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Anuja Vats

Last ned pressefoto
Last ned pressefoto
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Anuja Vats

Postdoctoral Researcher
Institutt for datateknologi og informatikk

anuja.vats@ntnu.no
Gjøvik
Om Publikasjoner Formidling

Om

CV

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Alle publikasjoner i Nasjonalt vitenarkiv (NVA)

2024

  • Lijin, P.; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; 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
  • P., Lijin; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; 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
  • Lijin, P.; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; Kumar, G Santhosh; Nair, Madhu S.. (2024) PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion. Biomedical Engineering Letters
    Vitenskapelig artikkel
  • 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. Proceedings of IEEE International Conference on Image Processing
    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

2023

  • 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; 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; Hovde, Øistein; Mohamed, Ahmed Kedir. (2023) Deep Learning for Improved Diagnosis of Pathologies in Wireless Capsule Endoscopy with Focus on Data Efficiency and Transparency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling
  • 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

2022

  • 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

  • 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
  • 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.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Tidsskriftspublikasjoner

  • Lijin, P.; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; 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
  • P., Lijin; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; 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
  • Lijin, P.; Ullah, Mohib; Vats, Anuja; Cheikh, Faouzi Alaya; Kumar, G Santhosh; Nair, Madhu S.. (2024) PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion. Biomedical Engineering Letters
    Vitenskapelig artikkel
  • 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. Proceedings of IEEE International Conference on Image Processing
    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
  • 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; Pedersen, Marius; Mohammed, Ahmed Kedir; Hovde, Øistein. (2023) Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images. Scientific Reports
    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; 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

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.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

  • Vats, Anuja; Pedersen, Marius; Hovde, Øistein; Mohamed, Ahmed Kedir. (2023) Deep Learning for Improved Diagnosis of Pathologies in Wireless Capsule Endoscopy with Focus on Data Efficiency and Transparency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling

Formidling

2025

  • Vitenskapelig foredrag
    Aasdahl, Lene; Mork, Paul Jarle; Bach, Kerstin; Vats, Anuja; Ottersen, Stuart Gallina; Nilsen, Tom Ivar Lund. (2025) SmaRTWork. Nasjonale forskningskonferanse om muskelskjeletthelse (MUSS) , Oslo 2025-11-12 - 2025-11-13
  • Poster
    Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bach, Kerstin; Fossen, Heidi; Bones, Anita Formo; Vats, Anuja. (2025) Effectiveness of an AI-based app for supporting self-management in sick-listed individuals with musculoskeletal disorders - the SmaRTWork trial protocol. International Forum for Back and Neck Pain Research in Primary Care , Davos 2025-06-24 -

2024

  • Poster
    Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bach, Kerstin; Fossen, Heidi; Bones, Anita Formo; Vats, Anuja. (2024) SmaRTWork - en app for sykmeldte med muskel- og skjelettplager. Nasjonal forskningskonferanse for muskelskjeletthelse (MUSS) , Oslo 2024-10-31 - 2024-11-01

2023

  • Faglig foredrag
    Vats, Anuja; Pedersen, Marius. (2023) Discussing explainability generally and in capsule endoscopy. Workshop on Interactive Explanations of Neural Networks and Artificial Intelligence (Int-XAI) , IJCNN 2023, Gold Coast, Australia 2023-06-23 - 2023-06-23
  • Faglig foredrag
    Vats, Anuja; Hovde, Øistein. (2023) Can we distinguish between real and artificial image from colon capsules?. Mjøsforum 2023 , Lillehammer 2023-03-07 - 2023-03-07
  • Poster
    Agossou, Emmanuel; Vats, Anuja; Pedersen, Marius; Raja, Kiran. (2023) Auto-WCEBleedGen Challenge presentation, Computer Vision & Image Processing (CVIP-2023). Computer Vision & Image Processing (CVIP-2023) , IIT Jammu, India 2023-11-04 - 2023-11-04

2022

  • Faglig foredrag
    Vats, 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
  • Faglig foredrag
    Vats, Anuja. (2022) AI and making friends with healthcare!. Forskningsdagene 2022 2022-09-21 - 2022-09-21

2021

  • Faglig foredrag
    Vats, Anuja. (2021) AI in Future Digital Health : Towards learning with limited supervision for Capsule Endoscopy. AI-2021 Forty-first SGAI International Conference , Virtual 2021-12-14 - 2021-12-16
  • Faglig foredrag
    Pedersen, Marius; Vats, Anuja. (2021) Computer aided diagnoses for wireless capsule endoscopy. Biomedical signals: processing and mathematical analysis 2021-10-19 -
  • Faglig foredrag
    Vats, Anuja. (2021) Moving towards less supervision for Wireless Capsule Endoscopy. capsnetwork kick-off event 2021-08-06 -

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