Deep Learning for BioImaging: What Are We Learning?
Fuente:
arXiv
Saved in:
| Main Authors: | Svatko, Ivan, Sanchez, Maxime, Bendidi, Ihab, Cottrell, Gilles, Genovesio, Auguste |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
by: Bourriez, Nicolas, et al.
Published: (2023)
by: Bourriez, Nicolas, et al.
Published: (2023)
Spectral Collapse in Diffusion Inversion
by: Bourriez, Nicolas, et al.
Published: (2026)
by: Bourriez, Nicolas, et al.
Published: (2026)
DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization
by: Gheisari, Marzieh, et al.
Published: (2025)
by: Gheisari, Marzieh, et al.
Published: (2025)
Gradient Extrapolation for Debiased Representation Learning
by: Asaad, Ihab, et al.
Published: (2025)
by: Asaad, Ihab, et al.
Published: (2025)
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search
by: Gheisari, Marzieh, et al.
Published: (2024)
by: Gheisari, Marzieh, et al.
Published: (2024)
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations
by: Bourou, Anis, et al.
Published: (2025)
by: Bourou, Anis, et al.
Published: (2025)
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
by: Gowda, Shreyank N, et al.
Published: (2023)
by: Gowda, Shreyank N, et al.
Published: (2023)
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
by: Ismail-Fawaz, Ali, et al.
Published: (2025)
by: Ismail-Fawaz, Ali, et al.
Published: (2025)
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
by: Myara, Alexandre, et al.
Published: (2026)
by: Myara, Alexandre, et al.
Published: (2026)
Learning Topological Representations for Deep Image Understanding
by: Hu, Xiaoling
Published: (2024)
by: Hu, Xiaoling
Published: (2024)
Learning Ensembles of Vision-based Safety Control Filters
by: Tabbara, Ihab, et al.
Published: (2024)
by: Tabbara, Ihab, et al.
Published: (2024)
Deep Image Segmentation via Discriminant Feature Learning
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
Research on Image Recognition Technology Based on Multimodal Deep Learning
by: Wang, Jinyin, et al.
Published: (2024)
by: Wang, Jinyin, et al.
Published: (2024)
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)
by: Chaddad, Ahmad, et al.
Published: (2025)
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
by: Abhishek, Kumar, et al.
Published: (2025)
by: Abhishek, Kumar, et al.
Published: (2025)
Contrastive Learning for Regression on Hyperspectral Data
by: Dhaini, Mohamad, et al.
Published: (2024)
by: Dhaini, Mohamad, et al.
Published: (2024)
Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
by: Fu, Kaiming, et al.
Published: (2023)
by: Fu, Kaiming, et al.
Published: (2023)
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing
by: Faye, Bilal, et al.
Published: (2024)
by: Faye, Bilal, et al.
Published: (2024)
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
by: Jacovella, Maxime, et al.
Published: (2024)
by: Jacovella, Maxime, et al.
Published: (2024)
Deep Learning-based Text-in-Image Watermarking
by: Karki, Bishwa, et al.
Published: (2024)
by: Karki, Bishwa, et al.
Published: (2024)
What Matters in Practical Learned Image Compression
by: Tatwawadi, Kedar, et al.
Published: (2026)
by: Tatwawadi, Kedar, et al.
Published: (2026)
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles
by: Tu, Minh Dang, et al.
Published: (2024)
by: Tu, Minh Dang, et al.
Published: (2024)
Early Glaucoma Detection using Deep Learning with Multiple Datasets of Fundus Images
by: Chowdhury, Rishiraj Paul, et al.
Published: (2025)
by: Chowdhury, Rishiraj Paul, et al.
Published: (2025)
A Comprehensive Assessment Benchmark for Rigorously Evaluating Deep Learning Image Classifiers
by: Spratling, Michael W.
Published: (2023)
by: Spratling, Michael W.
Published: (2023)
Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
by: Dhaini, Mohamad, et al.
Published: (2026)
by: Dhaini, Mohamad, et al.
Published: (2026)
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)
Decoding Future Risk: Deep Learning Analysis of Tubular Adenoma Whole-Slide Images
by: Rahu, Ahmed, et al.
Published: (2026)
by: Rahu, Ahmed, et al.
Published: (2026)
Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)
by: Buranasiri, Vutichart, et al.
Published: (2026)
ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning
by: Pak, Peter Myung-Won, et al.
Published: (2024)
by: Pak, Peter Myung-Won, et al.
Published: (2024)
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
by: He, Weijie, et al.
Published: (2024)
by: He, Weijie, et al.
Published: (2024)
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing
by: Siegismund, Daniel, et al.
Published: (2023)
by: Siegismund, Daniel, et al.
Published: (2023)
Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning
by: Albzour, Nisreen, et al.
Published: (2025)
by: Albzour, Nisreen, et al.
Published: (2025)
Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
by: Perez-Carrasco, Manuel, et al.
Published: (2025)
by: Perez-Carrasco, Manuel, et al.
Published: (2025)
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation
by: Daniel, Rui, et al.
Published: (2025)
by: Daniel, Rui, et al.
Published: (2025)
A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
CVChess: A Deep Learning Framework for Converting Chessboard Images to Forsyth-Edwards Notation
by: Abeykoon, Luthira, et al.
Published: (2025)
by: Abeykoon, Luthira, et al.
Published: (2025)
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
by: Pande, Shivam
Published: (2024)
by: Pande, Shivam
Published: (2024)
An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
by: Duan, Yue, et al.
Published: (2025)
by: Duan, Yue, et al.
Published: (2025)
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
by: Haouari, Zeineb, et al.
Published: (2025)
by: Haouari, Zeineb, et al.
Published: (2025)
Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need
by: Sharifi, Mohammadreza, et al.
Published: (2025)
by: Sharifi, Mohammadreza, et al.
Published: (2025)
Similar Items
-
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
by: Bourriez, Nicolas, et al.
Published: (2023) -
Spectral Collapse in Diffusion Inversion
by: Bourriez, Nicolas, et al.
Published: (2026) -
DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization
by: Gheisari, Marzieh, et al.
Published: (2025) -
Gradient Extrapolation for Debiased Representation Learning
by: Asaad, Ihab, et al.
Published: (2025) -
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search
by: Gheisari, Marzieh, et al.
Published: (2024)