Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

August 12, 2024

From Diagnostic CT to DTI Tractography labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage
Olivia N Murray, Hamied Haroon, Paul Ryu, Hiren Patel, George Harston, Marieke Wermer, Wilmar Jolink, Daniel Hanley, Catharina Klijn, Ulrike Hammerbeck, Adrian Parry-Jones, Timothy Cootes
Deep Learning Computed Tomography Intracerebral Hemorrhage Diffusion Tensor Imaging Cranial Nerve Tractography Whole Brain Tractography
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
Haoyu Qin, Yungang Chen, Qianchuan Jiang, Pengchao Sun, Xiancai Ye, Chao Lin
Deep Learning Numerical Weather Prediction Weather Forecasting Temporal Mamba Area Modeling

August 11, 2024

Deep Learning in Medical Image Registration: Magic or Mirage?
Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee
Deep Learning Feature Selection Medical Image Registration Deformable Image Registration Optimization Method LangId Magic Spell Registration Algorithm Classical Optimization
Deep Learning with Data Privacy via Residual Perturbation
Wenqi Tao, Huaming Ling, Zuoqiang Shi, Bao Wang
Deep Learning Differential Privacy Privacy Preserving Data Privacy Private Stochastic Residual Model
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci
Deep Learning Medical Image Segmentation Based Approach Medical Image Analysis Medical Image Classification Long Form Novel Lung Segmentation
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
Dandan Zhao, Karthick Sharma, Hongpeng Yin, Yuxin Qi, Shuhao Zhang
Deep Learning Online Continual Learning Real World Dataset Fault Diagnosis

August 10, 2024

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Kenneth Adomako Tutu, Armstrong Aboah
Deep Learning Local Datasets Pavement Distress Pavement Condition
Quantum-secure multiparty deep learning
Kfir Sulimany, Sri Krishna Vadlamani, Ryan Hamerly, Prahlad Iyengar, Dirk Englund
Deep Learning Neural Network Weight Deep Learning Inference Secure Multiparty Computation Practical Quantum Secure Cloud

August 9, 2024

On the Geometry of Deep Learning
Randall Balestriero, Ahmed Imtiaz Humayun, Richard Baraniuk
Deep Learning Deep Network Geometric Analysis Affine Spline
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
Dilek M. Yalcinkaya, Khalid Youssef, Bobak Heydari, Janet Wei, Noel Bairey Merz, Robert Judd, Rohan Dharmakumar, Orlando P. Simonetti, Jonathan W. Weinsaft, Subha V. Raman, Behzad Sharif
Deep Learning Better Robustness Multi Center Uncertainty Map Data Adaptation

August 8, 2024

Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach
Haider Raza, Mohsin Ali, Vishal Krishna Singh, Agustin Wahjuningrum, Rachel Sarig, Akhilanand Chaurasia
Deep Learning Segmentation Based Approach Deep Learning Approach Anatomical Structure Panoramic Radiograph
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis
Michele Craighero, Sarah Solbiati, Federica Mozzini, Enrico Caiani, Giacomo Boracchi
Deep Learning Heart Rate Finite Trace Systolic Complex
Clutter Classification Using Deep Learning in Multiple Stages
Ryan Dempsey, Jonathan Ethier
Deep Learning Propagation Environment Multiple Stage Infrared Clutter Background Path Loss
Deep Transfer Learning for Kidney Cancer Diagnosis
Yassine Habchi, Hamza Kheddar, Yassine Himeur, Abdelkrim Boukabou, Shadi Atalla, Wathiq Mansoor, Hussain Al-Ahmad
Deep Learning Transfer Learning Deep Transfer Learning Renal Cell Carcinoma

August 7, 2024

Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Inas Bachiri, Hadjer Benmeziane, Smail Niar, Riyadh Baghdadi, Hamza Ouarnoughi, Abdelkrime Aries
Deep Learning Timely Survey Code Optimization Hardware Aware Neural Architecture Search
Hate Speech Detection and Classification in Amharic Text with Deep Learning
Samuel Minale Gashe, Seid Muhie Yimam, Yaregal Assabie
Deep Learning Classification Code Hate Speech Hate Speech Detection Non Hate Speech Amharic Speech Emotion Dataset Amharic Scene Text
Anatomical Foundation Models for Brain MRIs
Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto
Deep Learning Brain MRI Brain Age Cortical Thickness
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
Yihao Zhong, Yijing Wei, Yingbin Liang, Xiqing Liu, Rongwei Ji, Yiru Cang
Deep Learning Generative Adversarial Network Comparative Study GAN Model Image Recognition Current Method
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8
Fan Zhao, Yijia Chen, Dianhan Xi, Yongying Liu, Jiaqi Wang, Shigeru Tabeta, Katsunori Mizuno
Deep Learning UAV Image Look Once Version 8 YOLO Object Super Resolution Reconstruction Hermit Crab
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan
Deep Learning Better Optimizers Design Optimization Gradient Information Sigmoid Function Frictional Contact Adaptive Optimizers Friction Model

Deep Learning

Papers

From Diagnostic CT to DTI Tractography labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model

Deep Learning in Medical Image Registration: Magic or Mirage?

Deep Learning with Data Privacy via Residual Perturbation

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets

Quantum-secure multiparty deep learning

On the Geometry of Deep Learning

Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis

Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach

Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis

Clutter Classification Using Deep Learning in Multiple Stages

Deep Transfer Learning for Kidney Cancer Diagnosis

Combining Neural Architecture Search and Automatic Code Optimization: A Survey

Hate Speech Detection and Classification in Amharic Text with Deep Learning

Anatomical Foundation Models for Brain MRIs

A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods

Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function