no code implementations • 27 May 2023 • Md Abulkalam Azad, Ahmed Mohammed, Maryna Waszak, Brian Elvesæter, Martin Ludvigsen
Today ship hull inspection including the examination of the external coating, detection of defects, and other types of external degradation such as corrosion and marine growth is conducted underwater by means of Remotely Operated Vehicles (ROVs).
no code implementations • 16 Jan 2023 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
Like training in other modalities such as traditional endoscopy, CT, MRI, etc., a WCE training protocol would require an atlas comprising of a large corpora of images that show vivid descriptions of pathologies and abnormalities, ideally observed over a period of time.
1 code implementation • 5 Dec 2022 • Anuja Vats, Ahmed Mohammed, Marius Pedersen, Nirmalie Wiratunga
Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular.
no code implementations • 10 Jun 2022 • Anuja Vats, Ahmed Mohammed, Marius Pedersen
Prior works have considered using higher quality and quantity of labels as a way of tackling the lack of generalization, however this is hardly scalable considering pathology diversity not to mention that labeling large datasets encumbers the medical staff additionally.
no code implementations • 30 Jun 2021 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data.
3 code implementations • 30 Jan 2020 • Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Felix Fuentes, Evangello Flouty, Ahmed Mohammed, Marius Pedersen, Avinash Kori, Varghese Alex, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Myeonghyeon Kim, Chanho Kim, Chaewon Kim, Hye-Jin Kim, Gyeongmin Lee, Ihsan Ullah, Miguel Luna, Sang Hyun Park, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models.
1 code implementation • Journal on Image and Video Processing 2018 • Ahmed Mohammed, Ivar Farup, Sule Yildirim, Marius Pedersen, Øistein Hovde
The main objective of the paper is to increase the frame rate to be closer to that of the colonoscopy.
1 code implementation • Journal of Imaging 2018 • Ahmed Mohammed, Ivar Farup, Marius Pedersen, Øistein Hovde, and Sule Yildirim Yayilgan
In this paper, we consider the problem of enhancing the visibility of detail and shadowed tissue surfaces for capsule endoscopy images.
1 code implementation • 5 Jun 2018 • Ahmed Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde
To handle this problem, we propose a novel deep learning method Y-Net that consists of two encoder networks with a decoder network.