Searching collaborative agents for multi-plane localization in 3D ultrasound
Abstract 3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic
information not contained in 2D US. Moreover, 3D US can contain multiple standard planes …
information not contained in 2D US. Moreover, 3D US can contain multiple standard planes …
Ultrasound video summarization using deep reinforcement learning
Video is an essential imaging modality for diagnostics, eg in ultrasound imaging, for
endoscopy, or movement assessment. However, video hasn't received a lot of attention in …
endoscopy, or movement assessment. However, video hasn't received a lot of attention in …
Communicative reinforcement learning agents for landmark detection in brain images
Accurate detection of anatomical landmarks is an essential step in several medical imaging
tasks. We propose a novel communicative multi-agent reinforcement learning (C-MARL) …
tasks. We propose a novel communicative multi-agent reinforcement learning (C-MARL) …
Contrastive learning of relative position regression for one-shot object localization in 3D medical images
Deep learning networks have shown promising performance for object localization in
medical images, but require large amount of annotated data for supervised training. To …
medical images, but require large amount of annotated data for supervised training. To …
Enhanced detection of fetal pose in 3D MRI by deep reinforcement learning with physical structure priors on anatomy
Fetal MRI is heavily constrained by unpredictable and substantial fetal motion that causes
image artifacts and limits the set of viable diagnostic image contrasts. Current mitigation of …
image artifacts and limits the set of viable diagnostic image contrasts. Current mitigation of …
Deep reinforcement learning for detection of inner ear abnormal anatomy in computed tomography
Detection of abnormalities within the inner ear is a challenging task that, if automated, could
provide support for the diagnosis and clinical management of various otological disorders …
provide support for the diagnosis and clinical management of various otological disorders …
Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection
We propose a pipeline for the characterization of facial and cochlear nerves in CT scans, a
task specifically relevant for cochlear implant surgery planning. These structures are hard to …
task specifically relevant for cochlear implant surgery planning. These structures are hard to …
Deep reinforcement learning for l3 slice localization in sarcopenia assessment
Sarcopenia is a medical condition characterized by a reduction in muscle mass and
function. A quantitative diagnosis technique consists of localizing the CT slice passing …
function. A quantitative diagnosis technique consists of localizing the CT slice passing …
Reinforced redetection of landmark in pre-and post-operative brain scan using anatomical guidance for image alignment
Re-identifying locations of interest in pre-and post-operative images is a hard identification
problem, as the anatomical landscape changes dramatically due to tumor resection and …
problem, as the anatomical landscape changes dramatically due to tumor resection and …
Segmentation-free estimation of aortic diameters from mri using deep learning
A Aguerreberry, E de La Rosa, A Lalande… - Statistical Atlases and …, 2021 - Springer
Accurate and reproducible measurements of the aortic diameters are crucial for the
diagnosis of cardiovascular diseases and for therapeutic decision making. Currently, these …
diagnosis of cardiovascular diseases and for therapeutic decision making. Currently, these …