| Y-net: A deep convolutional neural network for polyp detection A Mohammed, S Yildirim, I Farup, M Pedersen, Ø Hovde arXiv preprint arXiv:1806.01907, 2018 | 82 | 2018 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 79 | 2020 |
| Pednet: A spatio-temporal deep convolutional neural network for pedestrian segmentation M Ullah, A Mohammed, F Alaya Cheikh Journal of Imaging 4 (9), 107, 2018 | 63 | 2018 |
| Weakly-supervised network for detection of COVID-19 in chest CT scans A Mohammed, C Wang, M Zhao, M Ullah, R Naseem, H Wang, ... Ieee Access 8, 155987-156000, 2020 | 57 | 2020 |
| A hierarchical feature model for multi-target tracking M Ullah, AK Mohammed, FA Cheikh, Z Wang 2017 IEEE international conference on image processing (ICIP), 2612-2616, 2017 | 49 | 2017 |
| Attention-based LSTM network for action recognition in sports M Ullah, MM Yamin, A Mohammed, SD Khan, H Ullah, FA Cheikh Electronic Imaging 33, 1-6, 2021 | 45 | 2021 |
| Multiscale deep desmoking for laparoscopic surgery C Wang, AK Mohammed, FA Cheikh, A Beghdadi, OJ Elle Medical Imaging 2019: Image Processing 10949, 505-513, 2019 | 43 | 2019 |
| Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera P Risholm, A Mohammed, T Kirkhus, S Clausen, L Vasilyev, O Folkedal, ... Aquacultural Engineering 97, 102227, 2022 | 25 | 2022 |
| Hand-crafted vs deep features: A quantitative study of pedestrian appearance model M Ullah, MA Kedir, FA Cheikh 2018 Colour and Visual Computing Symposium (CVCS), 1-6, 2018 | 24 | 2018 |
| PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data A Mohammed, I Farup, M Pedersen, S Yildirim, Ø Hovde Computer Vision and Image Understanding 201, 103062, 2020 | 23 | 2020 |
| Stochastic capsule endoscopy image enhancement A Mohammed, I Farup, M Pedersen, Ø Hovde, S Yildirim Yayilgan Journal of Imaging 4 (6), 75, 2018 | 21 | 2018 |
| Streoscennet: surgical stereo robotic scene segmentation A Mohammed, S Yildirim, I Farup, M Pedersen, Ø Hovde Medical imaging 2019: Image-guided procedures, robotic interventions, and …, 2019 | 20 | 2019 |
| Robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2018 | 18 | 2018 |
| Sparse coded handcrafted and deep features for colon capsule video summarization A Mohammed, S Yildirim, M Pedersen, Ø Hovde, F Cheikh 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 17 | 2017 |
| Image quality metrics for the evaluation and optimization of capsule video endoscopy enhancement techniques M Pedersen, O Cherepkova, A Mohammed Color and Imaging Conference 25, 20-27, 2017 | 14 | 2017 |
| The importance of skip connections in encoder-decoder architectures for colorectal polyp detection N Mulliqi, S Yildirim, A Mohammed, L Ahmedi, H Wang, O Elezaj, ... 2020 IEEE international conference on image processing (ICIP), 380-384, 2020 | 10 | 2020 |
| This changes to that: Combining causal and non-causal explanations to generate disease progression in capsule endoscopy A Vats, A Mohammed, M Pedersen, N Wiratunga ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Autonomous subsea intervention (SEAVENTION) AA Transeth, I Schjølberg, AM Lekkas, P Risholm, A Mohammed, ... IFAC-PapersOnLine 55 (31), 387-394, 2022 | 8 | 2022 |
| Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks A Mohammed, J Kvam, IF Onstein, M Bakken, H Schulerud Journal of Intelligent Manufacturing 34 (1), 303-314, 2023 | 7 | 2023 |
| A preliminary analysis of self-supervision for wireless capsule endoscopy A Vats, M Pedersen, A Mohammed 2021 9th European Workshop on Visual Information Processing (EUVIP), 1-6, 2021 | 7 | 2021 |
Marius PedersenNorwegian University of Science and Technology (NTNU)在 ntnu.no 的电子邮件经过验证
Marius PedersenNorwegian University of Science and Technology (NTNU)在 ntnu.no 的电子邮件经过验证