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Bibliographic Details
Main Authors:	Fryer, Daniel, Nguyen, Hien, Castellazzi, Pascal
Format:	Preprint
Published:	2020
Subjects:	Machine Learning Image and Video Processing
Online Access:	https://arxiv.org/abs/2008.03454
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End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
by: Nguyen, Dat Thanh, et al.
Published: (2024)

Time Series Generative Learning with Application to Brain Imaging Analysis
by: Li, Zhenghao, et al.
Published: (2024)

PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters
by: Cavazos, Javier Salazar
Published: (2026)

Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
by: Nguyen, Dat Thanh, et al.
Published: (2023)

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
by: Toma, Tanjin Taher, et al.
Published: (2024)

Improving Virtual Contrast Enhancement using Longitudinal Data
by: Fayolle, Pierre, et al.
Published: (2025)

Machine Learning Applications in Spine Biomechanics
by: Ghezelbash, Farshid, et al.
Published: (2024)

Radiomics in Medical Imaging: Methods, Applications, and Challenges
by: Neha, Fnu, et al.
Published: (2026)

Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
by: Verma, Tushar, et al.
Published: (2024)

Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
by: Ekmekci, Canberk, et al.
Published: (2025)

Multi-modal deformable image registration using untrained neural networks
by: Nguyen, Quang Luong Nhat, et al.
Published: (2024)

Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
by: Shang, Ruibo, et al.
Published: (2024)

Federated Multilinear Principal Component Analysis with Applications in Prognostics
by: Zhou, Chengyu, et al.
Published: (2023)

Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applications
by: Green, Calum, et al.
Published: (2024)

A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
by: Dhankhar, Sakshi, et al.
Published: (2025)

Undersampled Phase Retrieval with Image Priors
by: Ducotterd, Stanislas, et al.
Published: (2025)

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
by: Huang, Yuning, et al.
Published: (2024)

Robustness and accuracy of mean opinion scores with hard and soft outlier detection
by: Saupe, Dietmar, et al.
Published: (2025)

CycleGAN Models for MRI Image Translation
by: Czobit, Cassandra, et al.
Published: (2023)

Distilling Knowledge for Designing Computational Imaging Systems
by: Suarez-Rodriguez, Leon, et al.
Published: (2025)

Multilook Coherent Imaging: Theoretical Guarantees and Algorithms
by: Chen, Xi, et al.
Published: (2025)

CMISR: Circular Medical Image Super-Resolution
by: Li, Honggui, et al.
Published: (2023)

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
by: Ghoul, Aya, et al.
Published: (2024)

Trustworthy Image Super-Resolution via Generative Pseudoinverse
by: Floros, Andreas, et al.
Published: (2025)

Efficient Deep Model-Based Optoacoustic Image Reconstruction
by: Dehner, Christoph, et al.
Published: (2024)

MACAW: A Causal Generative Model for Medical Imaging
by: Vigneshwaran, Vibujithan, et al.
Published: (2024)

Flexible Mixed Precision Quantization for Learned Image Compression
by: Hossain, Md Adnan Faisal, et al.
Published: (2025)

Physics-Embedded Feature Learning for AI in Medical Imaging
by: Das, Pulock, et al.
Published: (2026)

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay
by: Chen, Qianyu, et al.
Published: (2026)

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs
by: Zhang, Yichi, et al.
Published: (2024)

Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results
by: Spitzer, Alexandra, et al.
Published: (2026)

A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture
by: Song, Ruibing, et al.
Published: (2021)

Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging
by: Valdy, Laurentius, et al.
Published: (2025)

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
by: Waqas, Ali, et al.
Published: (2025)

Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine
by: Hashemi, Amirreza, et al.
Published: (2023)

AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
by: Ma, Haroui, et al.
Published: (2025)

Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
by: Qu, Liang, et al.
Published: (2024)

Machine Learning Derived Blood Input for Dynamic PET Images of Rat Heart
by: Debsarkar, Shubhrangshu, et al.
Published: (2025)

DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission
by: Guo, Fupei, et al.
Published: (2025)

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