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Found 12 papers, 2 papers with code
Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease.
Deep Conditional Shape Models for 3D cardiac image segmentation
Using deep implicit shape representations, the algorithm learns a modality-agnostic shape model that can generate the signed distance functions for any anatomy of interest.
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death.
Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
In this work, automated RP detection has been introduced by the proposed framework and demonstrated feasibility, robustness, and applicability for static imaging acquisitions.
Spatial Sharing of GPU for Autotuning DNN models
Spatial sharing of GPU enables multiplexing several DNNs on the GPU and can improve GPU utilization, thus improving throughput and lowering latency.
Assertion Detection in Multi-Label Clinical Text using Scope Localization
Multi-label sentences (text) in the clinical domain result from the rich description of scenarios during patient care.
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images
Executing machine learning (ML) pipelines in real-time on radiology images is hard due to the limited computing resources in clinical environments and the lack of efficient data transfer capabilities to run them on research clusters.
Multi-boundary entanglement in Chern-Simons theory with finite gauge groups
We study the multi-boundary entanglement structure of the states prepared in (1+1) and (2+1) dimensional Chern-Simons theory with finite discrete gauge group $G$.
High Energy Physics - Theory Mesoscale and Nanoscale Physics Quantum Physics
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies
Detection of the end-diastolic frame (EDF) and, in general, cardiac phase detection on each temporal frame of a coronary angiography acquisition is of significant importance for the anatomical and non-invasive functional assessment of CAD.
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
The output imbalance refers to the imbalance between the false positives and false negatives of the inference model.
Select, Attend, and Transfer: Light, Learnable Skip Connections
Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risks for vanishing gradients.
Efficient Image Retargeting for High Dynamic Range Scenes
In this paper, we address the problem of displaying the high contrast low dynamic range (LDR) image of a HDR scene in a display device which has different spatial resolution compared to that of the capturing digital camera.
