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2021
1 Mohammed, Ahmed Kedir; Pedersen, Marius.
Multi-encoder Decoder Network for Polyp Detection. I: Computer-Aided Analysis of Gastrointestinal Videos. Springer 2021 ISBN 978-3-030-64339-3. s. 75-80
NTNU Untitled
 
2 Mohammed, Ahmed; Kvam, Johannes; Thielemann, Jens T; Haugholt, Karl H.; Risholm, Petter.
6D pose estimation for subsea intervention in turbid waters. Electronics 2021 ;Volum 10.(19) s. -
SINTEF Untitled
 
3 Pedersen, Marius; Mohammed, Ahmed Kedir.
Photo Identification of Individual Salmo trutta Based on Deep Learning. Applied Sciences 2021 ;Volum 11.(19) s. -
NTNU Untitled
 
4 Risholm, Petter; Ivarsen, Peter Ørnulf; Haugholt, Karl Henrik; Mohammed, Ahmed Kedir.
Underwater marker-based pose-estimation with associated uncertainty. IEEE International Conference on Computer Vision Workshop (ICCVW) 2021
NTNU SINTEF Untitled
 
5 Ullah, Mohib; Yamin, Muhammad Mudassar; Mohammed, Ahmed Kedir; Khan, Sultan Daud; Ullah, Habib; Alaya Cheikh, Faouzi.
Attention-based LSTM network for action recognition in sports. Electronic Imaging; 2021-01-18 - 2021-01-21
NTNU UiT Untitled
 
6 Vats, Anuja; Pedersen, Marius; Mohammed, Ahmed Kedir.
A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy. European Workshop on Visual Information Processing 2021
SINTEF NTNU Untitled
 
7 Vats, Anuja; Pedersen, Marius; Mohammed, Ahmed Kedir; Hovde, Øistein.
Learning More for Free-A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy. I: Medical Image Computing and Computer Assisted Intervention – MICCAI 202. Springer 2021 ISBN 978-3-030-87192-5.
NTNU UiO Untitled
 
2020
8 Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein.
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Computer Vision and Image Understanding 2020 ;Volum 201:103062. s. 1-11
NTNU SI UiO Untitled
 
9 Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi.
Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access 2020 ;Volum 8. s. 155987-156000
NTNU Untitled
 
10 Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein.
The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection. I: Proceedings of IEEE international conference on image processing. IEEE Signal Processing Society 2020 ISBN 978-1-7281-6395-6. s. 380-384
NTNU SI Untitled
 
2019
11 Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein.
StreoScenNet: Surgical stereo robotic scene segmentation. Progress in Biomedical Optics and Imaging 2019 ;Volum 1095:109510P1.
NTNU SI UiO Untitled
 
12 Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob.
Multiscale deep desmoking for laparoscopic surgery. Progress in Biomedical Optics and Imaging 2019 ;Volum 10949:109491Y. s. 1-9
NTNU OUS UiO Untitled
 
2018
13 Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule.
Stochastic Capsule Endoscopy Image Enhancement. Journal of Imaging 2018 ;Volum 4.(6) s. -
NTNU SI UiO Untitled
 
14 Mohammed, Ahmed Kedir; Farup, Ivar; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein.
Variational approach for capsule video frame interpolation. EURASIP Journal on Image and Video Processing 2018 ;Volum 2018:30. s. 1-13
NTNU SI UiO Untitled
 
15 Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule.
Deep-STRESS Capsule Video Endoscopy Image Enhancement. Color and Imaging Conference (CIC) 2018 s. 247-252
NTNU UiO Untitled
 
16 Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein.
Y-Net: A deep convolutional neural network to polyp detection. British Machine Vision Conference (BMVC 2018); 2018-09-03 - 2018-09-06
NTNU UiO Untitled
 
17 Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi.
HAND-CRAFTED VS DEEP FEATURES: A QUANTITATIVE STUDY OF APPEARANCE MODEL FOR PEDESTRIAN. Color and Visual Computing Symposium (CVCS); 2018-09-19 - 2018-09-20
NTNU Untitled
 
18 Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi.
PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging 2018 ;Volum 4.(9) s. -
NTNU Untitled
 
19 Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui.
A hierarchical feature model for multi-target tracking. Proceedings of IEEE international conference on image processing 2018 s. 2612-2616
NTNU Untitled
 
2017
20 Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi.
Sparse coded handcrafted and deep features for colon capsule video summarization. Computer-Based Medical Systems 2017 ;Volum 2017-June. s. 728-733
NTNU SI UiO Untitled
 
21 Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi.
Sparse coded handcrafted and deep features for colon capsule video summarization. I: Computer-Based Medical Systems (CBMS), 2017 IEEE 30th International Symposium on. IEEE 2017 ISBN 978-1-5386-1710-6. s. 728-733
NTNU SI UiO Untitled
 
22 Pedersen, Marius; Cherepkova, Olga; Mohammed, Ahmed Kedir.
Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques. Journal of Imaging Science and Technology 2017 ;Volum 61.(4) s. 040402-1-040402-8
NTNU Untitled
 
23 Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui.
A Hierarchical Feature Model For Multi-Target Tracking. International Conference on Image Processing (ICIP); 2017-09-17 - 2017-09-20
NTNU Untitled