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05/26/2023
Modulate Your Spectrum in Self-Supervised Learning
Whitening loss provides theoretical guarantee in avoiding feature collap...
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05/10/2023
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulatio...
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03/22/2023
A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots
In the most extensive robot evolution systems, both the bodies and the b...
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03/22/2022
Environment induced emergence of collective behaviour in evolving swarms with limited sensing
Designing controllers for robot swarms is challenging, because human dev...
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03/21/2022
Delving into the Estimation Shift of Batch Normalization in a Network
Batch normalization (BN) is a milestone technique in deep learning. It n...
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12/19/2021
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
This work details a highly efficient implementation of the 3D scale-inva...
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10/27/2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Knowledge graph embedding models learn the representations of entities a...
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09/28/2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning has substantially advanced medical image segmen...
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07/17/2021
The Effects of Learning in Morphologically Evolving Robot Systems
When controllers (brains) and morphologies (bodies) of robots simultaneo...
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07/06/2021
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration
In order to tackle the difficulty associated with the ill-posed nature o...
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06/03/2021
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
Manually segmenting the hepatic vessels from Computer Tomography (CT) is...
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11/12/2020
Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
Multimodal image registration (MIR) is a fundamental procedure in many i...
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11/12/2020
Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks
The loss function of an unsupervised multimodal image registration frame...
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09/15/2020
F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
Multimodal deformable image registration is essential for many image-gui...
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07/06/2020
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Deformable image registration between Computed Tomography (CT) images an...
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03/20/2020
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?
With the increasing availability of new image registration approaches, a...
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02/01/2020
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction
Extracting graph representation of visual scenes in image is a challengi...
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09/29/2019
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
As online platforms are striving to get more users, a critical challenge...
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08/21/2019
Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
In image-guided neurosurgery, deformable registration currently is not a...
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03/06/2019
Temporal Registration in Application to In-utero MRI Time Series
We present a robust method to correct for motion in volumetric in-utero ...
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02/03/2019
UAV-aided urban target tracking system based on edge computing
Target tracking is an important issue of social security. In order to tr...
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12/31/2018
Deep Information Theoretic Registration
This paper establishes an information theoretic framework for deep metri...
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11/28/2018
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study
Background and objective: Combined evaluation of lumbosacral structures ...
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05/08/2018
Distributed Multiple Access with Multiple Transmission Options at The Link Layer
This paper investigates the problem of distributed medium access control...
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05/07/2018
Distributed Capacity of A Multiple Access Channel
In distributed communication, each transmitter prepares an ensemble of c...
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04/04/2018
Semi-Supervised Deep Metrics for Image Registration
Deep metrics have been shown effective as similarity measures in multi-m...
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03/20/2018
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
A reliable Ultrasound (US)-to-US registration method to compensate for b...
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03/14/2018
On the Ambiguity of Registration Uncertainty
Estimating the uncertainty in image registration is an area of current r...
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01/19/2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Multi-view networks are ubiquitous in real-world applications. In order ...
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08/12/2016
Temporal Registration in In-Utero Volumetric MRI Time Series
We present a robust method to correct for motion and deformations for in...
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04/07/2016