Ahmed Mohammed
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Marius Pedersen
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Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy (MICCAI 2021)
Photo Identification of Individual Salmo trutta Based on Deep Learning (Applied Sciences)
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data (Computer Vision and Image Understanding)
Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans (IEEE Access)
StreoScenNet: Surgical Stereo Robotic Scene segmentation (SPIE MI 2019)
Y-Net: A deep Convolutional Neural Network for Polyp Detection (BMVC 2018)
Stochastic Capsule Endoscopy Image Enhancement (JI 2018)
Deep-STRESS Capsule Video Endoscopy Image Enhancement (CIC 2018)
Variational Approach for Capsule Video Frame Interpolation (EURASIP JIVP 2018)
Image Quality Metrics for the Evaluation and Optimization of Capsule Video EndoscopyEnhancement Techniques (JIST 2017)
Sparse coded handcrafted and deep features for colon capsule video summarization (IEEE CBMS 2017)
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