1 code implementation • 23 Jun 2020 • Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Brain pathologies can vary greatly in size and shape, ranging from few pixels (i. e. MS lesions) to large, space-occupying tumors.
1 code implementation • 7 Apr 2020 • Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Deep unsupervised representation learning has recently led to new approaches in the field of Unsupervised Anomaly Detection (UAD) in brain MRI.
no code implementations • 15 Mar 2019 • Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni
Despite recent advances on the topic of direct camera pose regression using neural networks, accurately estimating the camera pose of a single RGB image still remains a challenging task.
no code implementations • 13 Sep 2018 • Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
Generative Adversarial Networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical image de-noising, reconstruction, segmentation, data simulation, detection or classification.
no code implementations • 5 Sep 2018 • Christoph Baur, Shadi Albarqouni, Nassir Navab
As many other machine learning driven medical image analysis tasks, skin image analysis suffers from a chronic lack of labeled data and skewed class distributions, which poses problems for the training of robust and well-generalizing models.
no code implementations • 12 Apr 2018 • Christoph Baur, Shadi Albarqouni, Nassir Navab
Generative Adversarial Networks (GANs) have been successfully used to synthesize realistically looking images of faces, scenery and even medical images.
1 code implementation • 12 Apr 2018 • Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Reliably modeling normality and differentiating abnormal appearances from normal cases is a very appealing approach for detecting pathologies in medical images.
1 code implementation • 4 Apr 2018 • M Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni
Digitized Histological diagnosis is in increasing demand.
1 code implementation • 17 Mar 2017 • Christoph Baur, Shadi Albarqouni, Nassir Navab
Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious.