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05/18/2023
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Vision-language pre-training (VLP) models have been demonstrated to be e...
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03/16/2023
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
Deep learning based methods provide efficient solutions to medical image...
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02/02/2023
Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs
Structural magnetic resonance imaging (sMRI) is widely used for brain ne...
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05/13/2022
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
Recently, weakly-supervised image segmentation using weak annotations li...
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04/17/2022
Federated Learning Cost Disparity for IoT Devices
Federated learning (FL) promotes predictive model training at the Intern...
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12/16/2021
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
In this paper we consider the problem of unsupervised anomaly segmentati...
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11/23/2021
Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
Unmanned aerial vehicles (UAVs) are envisioned to be extensively employe...
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09/11/2021
Utility Fairness for the Differentially Private Federated Learning
Federated learning (FL) allows predictive model training on the sensed d...
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07/21/2021
Terahertz-supported Untrusted UAV-Relaying: Secrecy Energy Efficiency Maximization via Trajectory and Communication Co-design
Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are envis...
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05/24/2021
DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration
Deep diffeomorphic registration faces significant challenges for high-di...
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05/20/2021
Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler
Although the combination of the orthogonal time frequency space (OTFS) m...
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05/10/2021
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation
Segmenting an entire 3D image often has high computational complexity an...
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04/13/2021
Orthogonal Time Sequency Multiplexing Modulation: Analysis and Low-Complexity Receiver Design
This paper proposes orthogonal time sequency multiplexing (OTSM), a nove...
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03/05/2021
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
We introduce a neural network framework, utilizing adversarial learning ...
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11/24/2020
Low Complexity Precoding and Detection in Multi-user Massive MIMO OTFS Downlink
We consider the problem of degradation in performance of multi-carrier m...
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11/20/2020
Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications
This paper investigates an average secrecy rate (ASR) maximization probl...
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10/24/2020
OTFS Based Random Access Preamble Transmission For High Mobility Scenarios
We consider the problem of uplink timing synchronization for Orthogonal ...
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05/15/2020
Decoding of NB-LDPC codes over Subfields
The non-binary low-density parity-check (NB-LDPC) codes can offer promis...
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11/15/2019
Improving PHY-Security of UAV-Enabled Transmission with Wireless Energy Harvesting: Robust Trajectory Design and Power Allocation
In this paper, we consider an unmanned aerial vehicle (UAV) assisted com...
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09/11/2019
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Automatic liver lesion segmentation is a challenging task while having a...
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06/17/2019
On the Performance of Low-Altitude UAV-Enabled Secure AF Relaying with Cooperative Jamming and SWIPT
This paper proposes a novel cooperative secure unmanned aerial vehicle (...
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05/10/2019
SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams
Learning from demonstration (LfD) and imitation learning offer new parad...
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01/27/2019
Orthogonal Time Frequency Space (OTFS) Modulation Based Radar System
Orthogonal time frequency space (OTFS) modulation was proposed to tackle...
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08/25/2018
Embedded Pilot-Aided Channel Estimation for OTFS in Delay-Doppler Channels
Orthogonal time frequency space (OTFS) modulation was shown to provide s...
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08/19/2018
Predictive Image Regression for Longitudinal Studies with Missing Data
In this paper, we propose a predictive regression model for longitudinal...
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06/14/2018
Fast Decoding of Low Density Lattice Codes
Low density lattice codes (LDLC) are a family of lattice codes that can ...
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03/27/2018
CompNet: Complementary Segmentation Network for Brain MRI Extraction
Brain extraction is a fundamental step for most brain imaging studies. I...
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03/19/2018
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Lung cancer is the leading cause of cancer-related death worldwide. Earl...
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02/14/2018