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Found 14 papers, 5 papers with code
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease
Dopamine transporter (DAT) imaging is commonly used for monitoring Parkinson's disease (PD), where striatal DAT uptake amount is computed to assess PD severity.
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
We present a method to extract coronary vessels from fluoroscopic x-ray sequences.
The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
The Coronary Artery Occlusion (CAO) acutely comes to human, and it highly threats the human's life.
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets
With the advents of deep learning, improved image classification with complex discriminative models has been made possible.
Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT
With no prior computational approaches to the best of our knowledge, we propose the first computerized automation for acute appendicitis diagnosis.
Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG
We mostly focus on enhancing the detecting performance using a preprocessing technique.
Centerline Depth World Reinforcement Learning-based Left Atrial Appendage Orifice Localization
In this paper, we propose a centerline depth-based reinforcement learning (RL) world for effective orifice localization in a small search space.
Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks
In this paper, we introduce a deep generative model trained to predict bone suppressed images on single energy chest X-rays, analyzing a finite set of previously acquired dual energy chest X-rays.
Bone Suppression From Dual Energy Chest X-Rays
Generative Adversarial Network
Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine
Surface Mounted Device (SMD) assembly machine manufactures various products on a flexible manufacturing line.
Comparison of RNN Encoder-Decoder Models for Anomaly Detection
Finally, we experimentally confirmed that the model performs better when the model restores the current sequence, rather than predict the future sequence.
Partial Policy-based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images
We introduce a partial policy-based reinforcement learning to enable solving the large problem of localization by learning the optimal policy on smaller partial domains.
Deep Vessel Segmentation By Learning Graphical Connectivity
We propose a novel deep-learning-based system for vessel segmentation.
Ranked #1 on
Retinal Vessel Segmentation
on HRF
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images
The results trained with only 10 strongly annotated images along with weakly annotated images were comparable to results trained from 800 strongly annotated images, with the 95% confidence interval of difference -3. 00%--5. 00%, in terms of the correct localization (CorLoc) measure, which is the ratio of images with intersection over union with ground truth higher than 0. 5.
Random Tree Walk Toward Instantaneous 3D Human Pose Estimation
Instead of training trees for pixel-wise classification, a regression tree is trained to estimate the probability distribution to the direction toward the particular joint, relative to the current position.
