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Article
Open AccessTowards automatic home-based sleep apnea estimation using deep learning
Apnea and hypopnea are common sleep disorders characterized by the obstruction of the airways. Polysomnography (PSG) is a sleep study typically used to compute the Apnea-Hypopnea Index (AHI), the number of tim...
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Chapter and Conference Paper
Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization
Advancements in computational power and algorithmic refinements have significantly amplified the impact and applicability of machine learning (ML), particularly in medical imaging. While ML in general thrives ...
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Article
Open AccessGeneralising from conventional pipelines using deep learning in high-throughput screening workflows
The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of t...
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Chapter and Conference Paper
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models
The robust translation of medical imaging-based models from research to real clinical settings opens new challenges. A prominent recent case is the development of models for the prediction of COVID-19 pneumoni...
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Chapter and Conference Paper
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data
Following the deep brain stimulation (DBS) surgery, the stimulation parameters are manually tuned to reduce symptoms. This procedure can be timeconsuming, especially with directional leads. We propose an autom...
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Article
Open AccessIntraoperative discrimination of native meningioma and dura mater by Raman spectroscopy
Meningiomas are among the most frequent tumors of the central nervous system. For a total resection, shown to decrease recurrences, it is paramount to reliably discriminate tumor tissue from normal dura mater ...
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Chapter and Conference Paper
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images
Stereoelectroencephalography (sEEG) and deep brain stimulation (DBS) are effective surgical diagnostic and therapeutic procedures of the depth electrodes implantation in the brain. The benefit and outcome of t...
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Chapter and Conference Paper
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation
The post-operative validation of deep brain stimulation electrode displacement and deformation is an important task towards improved DBS targeting. In this paper a method is proposed to align models of deep br...
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Article
High-fat feeding promotes obesity via insulin receptor/PI3K-dependent inhibition of SF-1 VMH neurons
The authors report that insulin activates PI3K signaling in SF-1–expressing neurons of the ventromedial hypothalamus to regulate their firing frequency. Mice with insulin receptor deficiency in these neurons s...
