Navigasjon

  • Hopp til innhold
NTNU Hjemmeside

ntnu.no

  • Studier
    • Studieprogram
    • Søk opptak
    • Forkurs og oppfriskning
    • Videreutdanning og deltid
    • Studere på NTNU
  • Studentliv
    • Student i Gjøvik
    • Student i Trondheim
    • Student i Ålesund
    • Derfor velger vi NTNU
  • Forskning og innovasjon
    • Forskning
    • Innovasjon
    • Satsingsområder
    • Toppforskning
    • Ekspertlister
    • Ph.d.
  • Om NTNU
    • Fakulteter og institutter
    • Sentre
    • Bibliotek
    • Kart
    • Ledige stillinger
    • Arrangement
    • Nyheter
    • Kontakt oss
    • Om NTNU
  1. Hjem
  2. Ansatte

Språkvelger

English

Ahmed Kedir Mohammed

Ahmed Kedir Mohammed

Førsteamanuensis
Institutt for datateknologi og informatikk

mohammed.kedir@ntnu.no
Ametyst-bygget, Gjøvik
Publikasjoner Formidling

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2022

  • Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene. (2022) Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks. Journal of Intelligent Manufacturing.
    Vitenskapelig artikkel
  • Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T. (2022) Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera. Aquacultural Engineering. volum 97.
    Vitenskapelig artikkel
  • Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. (2022) Autonomous subsea intervention (SEAVENTION). IFAC-PapersOnLine. volum 55 (31).
    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. volum 12 (1).
    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. volum 10.
    Vitenskapelig artikkel

2021

  • Mohammed, Ahmed Kedir; Pedersen, Marius. (2021) Multi-encoder Decoder Network for Polyp Detection. Computer-Aided Analysis of Gastrointestinal Videos.
    Faglig kapittel
  • Mohammed, Ahmed; Kvam, Johannes; Thielemann, Jens T; Haugholt, Karl H.; Risholm, Petter. (2021) 6D pose estimation for subsea intervention in turbid waters. Electronics. volum 10 (19).
    Vitenskapelig artikkel
  • Pedersen, Marius; Mohammed, Ahmed Kedir. (2021) Photo Identification of Individual Salmo trutta Based on Deep Learning. Applied Sciences. volum 11 (19).
    Vitenskapelig artikkel
  • Risholm, Petter; Ivarsen, Peter Ørnulf; Haugholt, Karl Henrik; Mohammed, Ahmed Kedir. (2021) Underwater marker-based pose-estimation with associated uncertainty. IEEE International Conference on Computer Vision Workshop (ICCVW).
    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
  • 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. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII.
    Vitenskapelig kapittel/artikkel

2020

  • Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein. (2020) PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Computer Vision and Image Understanding. volum 201:103062.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Ullah, Mohib; Bauer, Jacob Renzo. (2020) Spectranet: A deep model for skin oxygenation measurement from multi-spectral data. IS&T International Symposium on Electronic Imaging Science and Technology. volum 2020:art00002 (14).
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi. (2020) Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access. volum 8.
    Vitenskapelig artikkel
  • Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein. (2020) The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection. Proceedings of IEEE international conference on image processing.
    Vitenskapelig kapittel/artikkel

2019

  • Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein. (2019) StreoScenNet: Surgical stereo robotic scene segmentation. Progress in Biomedical Optics and Imaging. volum 1095:109510P1.
    Vitenskapelig artikkel
  • Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob. (2019) Multiscale deep desmoking for laparoscopic surgery. Progress in Biomedical Optics and Imaging. volum 10949:109491Y.
    Vitenskapelig artikkel

2018

  • Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule. (2018) Stochastic Capsule Endoscopy Image Enhancement. Journal of Imaging. volum 4 (6).
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Farup, Ivar; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein. (2018) Variational approach for capsule video frame interpolation. EURASIP Journal on Image and Video Processing. volum 2018:30.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule. (2018) Deep-STRESS Capsule Video Endoscopy Image Enhancement. Color and Imaging Conference (CIC).
    Vitenskapelig artikkel
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi. (2018) PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging. volum 4 (9).
    Vitenskapelig artikkel
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2018) A hierarchical feature model for multi-target tracking. Proceedings of IEEE International Conference on Image Processing.
    Vitenskapelig artikkel

2017

  • Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi. (2017) Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems. volum 2017-June.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi. (2017) Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems (CBMS), 2017 IEEE 30th International Symposium on.
    Vitenskapelig kapittel/artikkel
  • Pedersen, Marius; Cherepkova, Olga; Mohammed, Ahmed Kedir. (2017) Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques. Journal of Imaging Science and Technology. volum 61 (4).
    Vitenskapelig artikkel

Vitenskapelige artikler

  • Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene. (2022) Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks. Journal of Intelligent Manufacturing.
    Vitenskapelig artikkel
  • Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T. (2022) Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera. Aquacultural Engineering. volum 97.
    Vitenskapelig artikkel
  • Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. (2022) Autonomous subsea intervention (SEAVENTION). IFAC-PapersOnLine. volum 55 (31).
    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. volum 12 (1).
    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. volum 10.
    Vitenskapelig artikkel
  • Mohammed, Ahmed; Kvam, Johannes; Thielemann, Jens T; Haugholt, Karl H.; Risholm, Petter. (2021) 6D pose estimation for subsea intervention in turbid waters. Electronics. volum 10 (19).
    Vitenskapelig artikkel
  • Pedersen, Marius; Mohammed, Ahmed Kedir. (2021) Photo Identification of Individual Salmo trutta Based on Deep Learning. Applied Sciences. volum 11 (19).
    Vitenskapelig artikkel
  • Risholm, Petter; Ivarsen, Peter Ørnulf; Haugholt, Karl Henrik; Mohammed, Ahmed Kedir. (2021) Underwater marker-based pose-estimation with associated uncertainty. IEEE International Conference on Computer Vision Workshop (ICCVW).
    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
  • Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein. (2020) PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Computer Vision and Image Understanding. volum 201:103062.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Ullah, Mohib; Bauer, Jacob Renzo. (2020) Spectranet: A deep model for skin oxygenation measurement from multi-spectral data. IS&T International Symposium on Electronic Imaging Science and Technology. volum 2020:art00002 (14).
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi. (2020) Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access. volum 8.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein. (2019) StreoScenNet: Surgical stereo robotic scene segmentation. Progress in Biomedical Optics and Imaging. volum 1095:109510P1.
    Vitenskapelig artikkel
  • Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob. (2019) Multiscale deep desmoking for laparoscopic surgery. Progress in Biomedical Optics and Imaging. volum 10949:109491Y.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule. (2018) Stochastic Capsule Endoscopy Image Enhancement. Journal of Imaging. volum 4 (6).
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Farup, Ivar; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein. (2018) Variational approach for capsule video frame interpolation. EURASIP Journal on Image and Video Processing. volum 2018:30.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule. (2018) Deep-STRESS Capsule Video Endoscopy Image Enhancement. Color and Imaging Conference (CIC).
    Vitenskapelig artikkel
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi. (2018) PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging. volum 4 (9).
    Vitenskapelig artikkel
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2018) A hierarchical feature model for multi-target tracking. Proceedings of IEEE International Conference on Image Processing.
    Vitenskapelig artikkel
  • Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi. (2017) Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems. volum 2017-June.
    Vitenskapelig artikkel
  • Pedersen, Marius; Cherepkova, Olga; Mohammed, Ahmed Kedir. (2017) Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques. Journal of Imaging Science and Technology. volum 61 (4).
    Vitenskapelig artikkel

Del av bok/rapport

  • Mohammed, Ahmed Kedir; Pedersen, Marius. (2021) Multi-encoder Decoder Network for Polyp Detection. Computer-Aided Analysis of Gastrointestinal Videos.
    Faglig kapittel
  • 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. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII.
    Vitenskapelig kapittel/artikkel
  • Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein. (2020) The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection. Proceedings of IEEE international conference on image processing.
    Vitenskapelig kapittel/artikkel
  • Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi. (2017) Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems (CBMS), 2017 IEEE 30th International Symposium on.
    Vitenskapelig kapittel/artikkel

Formidling

2022

  • Vitenskapelig foredrag
    Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios M.; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric. (2022) Autonomous subsea intervention (SEAVENTION). 14th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS 2022) . IFAC / DTU; Lyngby. 2022-09-14 - 2022-09-16.

2021

  • Vitenskapelig foredrag
    Ullah, Mohib; Yamin, Muhammad Mudassar; Mohammed, Ahmed Kedir; Khan, Sultan Daud; Ullah, Habib; Alaya Cheikh, Faouzi. (2021) Attention-based LSTM network for action recognition in sports. Electronic Imaging . Society for Imaging Science and Technology; San Francisco. 2021-01-18 - 2021-01-21.

2018

  • Vitenskapelig foredrag
    Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein. (2018) Y-Net: A deep convolutional neural network to polyp detection. British Machine Vision Conference (BMVC 2018) . British Machine Vision Association; Newcastle. 2018-09-03 - 2018-09-06.
  • Poster
    Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi. (2018) HAND-CRAFTED VS DEEP FEATURES: A QUANTITATIVE STUDY OF APPEARANCE MODEL FOR PEDESTRIAN. Color and Visual Computing Symposium (CVCS) . IEEE; Gjøvik. 2018-09-19 - 2018-09-20.

2017

  • Poster
    Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2017) A Hierarchical Feature Model For Multi-Target Tracking. International Conference on Image Processing (ICIP) . IEEE; Beijing. 2017-09-17 - 2017-09-20.
NTNU kunnsap for en bedre verden
Studere
  • Studieprogram
  • Emner
  • Videreutdanning og deltid
  • Jobbmuligheter
  • Karriereutvikling
  • Studentaktiviteter
  • Studentblogger
  • Hvorfor velge NTNU
Kontakt
  • Kontakt oss
  • Finn ansatte
  • Skolebesøk og messer
  • Spør en ekspert
  • For alumni
  • Pressekontakter
Oppdag NTNU
  • Arrangement
  • Jobbe ved NTNU
  • Bilder og video
  • Nyheter
  • Kart
  • NTNU i Gjøvik
  • NTNU i Trondheim
  • NTNU i Ålesund
Om NTNU
  • NTNU og FNs bærekraftsmål
  • Strategi
  • Forskning
  • Satsingsområder
  • Innovasjon
  • Utdanningskvalitet
  • Organisasjonskart
  • Om NTNU
Tjenester
  • For ansatte
  • For studenter
  • Blackboard
  • Innsida

Norges teknisk-naturvitenskapelige universitet

Om informasjonskapsler
Personvern
Ansvarlig redaktør
Logg inn