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Article
Open AccessCorrection: Cerebellar Volumetry in Ataxias: Relation to Ataxia Severity and Duration
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Article
Open AccessCerebellar Volumetry in Ataxias: Relation to Ataxia Severity and Duration
Cerebellar atrophy is the neuropathological hallmark of most ataxias. Hence, quantifying the volume of the cerebellar grey and white matter is of great interest. In this study, we aim to identify volume differ...
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Chapter and Conference Paper
Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions
Exploration of bias has significant impact on the transparency and applicability of deep learning pipelines in medical settings, yet is so far woefully understudied. In this paper, we consider two separate gro...
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Chapter and Conference Paper
Learning Anatomical Segmentationsfor Tractography from Diffusion MRI
approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber tracts. A drawback of representing tracts as volumetric labels, rather than sets of stre...
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Article
Open Accessi3PosNet: instrument pose estimation from X-ray in temporal bone surgery
Accurate estimation of the position and orientation (pose) of surgical instruments is crucial for delicate minimally invasive temporal bone surgery. Current techniques lack in accuracy and/or line-of-sight con...
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Article
Open AccessLeveraging spatial uncertainty for online error compensation in EMT
Electromagnetic tracking (EMT) can potentially complement fluoroscopic navigation, reducing radiation exposure in a hybrid setting. Due to the susceptibility to external distortions, systematic error in EMT ne...
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Chapter and Conference Paper
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
Despite recent successes, the advances in Deep Learning have not yet been fully translated to Computer Assisted Intervention (CAI) problems such as pose estimation of surgical instruments. Currently, neural ar...
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Article
High-precision evaluation of electromagnetic tracking
Navigation in high-precision minimally invasive surgery (HP-MIS) demands high tracking accuracy in the absence of line of sight (LOS). Currently, no tracking technology can satisfy this requirement. Electromag...
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Chapter and Conference Paper
Exploring Adversarial Examples
Failure cases of black-box deep learning, e.g. adversarial examples, might have severe consequences in healthcare. Yet such failures are mostly studied in the context of real-world images with calibrated attac...
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Chapter and Conference Paper
Instrument Pose Estimation Using Registration for Otobasis Surgery
Clinical outcome of several Minimally Invasive Surgeries (MIS) heavily depend on the accuracy of intraoperative pose estimation of the surgical instrument from intraoperative x-rays. The estimation consists of...
