λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy
Fuente:
arXiv
Saved in:
| Main Authors: | Carrara, Federico, Lambert, Talley, Seifi, Mehdi, Jug, Florian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025)
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025)
scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
by: Ashesh, Ashesh, et al.
Published: (2025)
by: Ashesh, Ashesh, et al.
Published: (2025)
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
by: Buchholz, Tim-Oliver, et al.
Published: (2018)
by: Buchholz, Tim-Oliver, et al.
Published: (2018)
HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching
by: Ray, Anirban, et al.
Published: (2025)
by: Ray, Anirban, et al.
Published: (2025)
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching
by: Ray, Anirban, et al.
Published: (2025)
by: Ray, Anirban, et al.
Published: (2025)
Self-Supervised Quantization-Aware Knowledge Distillation
by: Zhao, Kaiqi, et al.
Published: (2024)
by: Zhao, Kaiqi, et al.
Published: (2024)
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
by: Kazimi, Bashir, et al.
Published: (2024)
by: Kazimi, Bashir, et al.
Published: (2024)
Uncertainty-Guided Selective Adaptation Enables Cross-Platform Predictive Fluorescence Microscopy
by: Yang, Kai-Wen K., et al.
Published: (2025)
by: Yang, Kai-Wen K., et al.
Published: (2025)
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
by: Lotfian, Mehdi, et al.
Published: (2026)
by: Lotfian, Mehdi, et al.
Published: (2026)
Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
by: Zhou, Chao, et al.
Published: (2025)
by: Zhou, Chao, et al.
Published: (2025)
Divide and Conquer Self-Supervised Learning for High-Content Imaging
by: Farndale, Lucas, et al.
Published: (2025)
by: Farndale, Lucas, et al.
Published: (2025)
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
by: Khan, Asifullah, et al.
Published: (2024)
by: Khan, Asifullah, et al.
Published: (2024)
Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
by: Majlessi, Kian, et al.
Published: (2026)
by: Majlessi, Kian, et al.
Published: (2026)
Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer
by: Meyer, Lina, et al.
Published: (2026)
by: Meyer, Lina, et al.
Published: (2026)
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
by: Perez, Fabian, et al.
Published: (2025)
by: Perez, Fabian, et al.
Published: (2025)
A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring
by: Scheinfeld, Adina, et al.
Published: (2026)
by: Scheinfeld, Adina, et al.
Published: (2026)
SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
by: Jadhav, Suyog, et al.
Published: (2026)
by: Jadhav, Suyog, et al.
Published: (2026)
Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
by: Tasai, Ren, et al.
Published: (2025)
by: Tasai, Ren, et al.
Published: (2025)
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)
by: Feng, Hao, et al.
Published: (2024)
Self-Supervised Learning of Color Constancy
by: Ernst, Markus R., et al.
Published: (2024)
by: Ernst, Markus R., et al.
Published: (2024)
Blockwise Self-Supervised Learning at Scale
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
Measuring and Controlling the Spectral Bias for Self-Supervised Image Denoising
by: Zhang, Wang, et al.
Published: (2025)
by: Zhang, Wang, et al.
Published: (2025)
Communication Efficient Split Learning of ViTs with Attention-based Double Compression
by: Alvetreti, Federico, et al.
Published: (2025)
by: Alvetreti, Federico, et al.
Published: (2025)
On Pretraining Data Diversity for Self-Supervised Learning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)
Rethinking The Uniformity Metric in Self-Supervised Learning
by: Fang, Xianghong, et al.
Published: (2024)
by: Fang, Xianghong, et al.
Published: (2024)
Matrix Information Theory for Self-Supervised Learning
by: Zhang, Yifan, et al.
Published: (2023)
by: Zhang, Yifan, et al.
Published: (2023)
True Self-Supervised Novel View Synthesis is Transferable
by: Mitchel, Thomas W., et al.
Published: (2025)
by: Mitchel, Thomas W., et al.
Published: (2025)
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
by: Eastwood, Cian, et al.
Published: (2023)
by: Eastwood, Cian, et al.
Published: (2023)
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
by: Cao, Shengcao, et al.
Published: (2024)
by: Cao, Shengcao, et al.
Published: (2024)
SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
by: Gadirov, Hamid, et al.
Published: (2025)
by: Gadirov, Hamid, et al.
Published: (2025)
Self-Supervised Learning for Identifying Defects in Sewer Footage
by: Otero, Daniel, et al.
Published: (2024)
by: Otero, Daniel, et al.
Published: (2024)
LDReg: Local Dimensionality Regularized Self-Supervised Learning
by: Huang, Hanxun, et al.
Published: (2024)
by: Huang, Hanxun, et al.
Published: (2024)
Multitask Multimodal Self-Supervised Learning for Medical Images
by: Simionescu, Cristian
Published: (2025)
by: Simionescu, Cristian
Published: (2025)
Self-Supervised Multi-Frame Neural Scene Flow
by: Liu, Dongrui, et al.
Published: (2024)
by: Liu, Dongrui, et al.
Published: (2024)
The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding
by: Bianchi, Lorenzo, et al.
Published: (2023)
by: Bianchi, Lorenzo, et al.
Published: (2023)
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
by: Lowe, Scott C., et al.
Published: (2024)
by: Lowe, Scott C., et al.
Published: (2024)
Dataset Distillation for Pre-Trained Self-Supervised Vision Models
by: Cazenavette, George, et al.
Published: (2025)
by: Cazenavette, George, et al.
Published: (2025)
On Partial Prototype Collapse in the DINO Family of Self-Supervised Methods
by: Govindarajan, Hariprasath, et al.
Published: (2024)
by: Govindarajan, Hariprasath, et al.
Published: (2024)
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
by: Zeng, Shuai, et al.
Published: (2024)
by: Zeng, Shuai, et al.
Published: (2024)
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
Similar Items
-
ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025) -
scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
by: Ashesh, Ashesh, et al.
Published: (2025) -
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
by: Buchholz, Tim-Oliver, et al.
Published: (2018) -
HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching
by: Ray, Anirban, et al.
Published: (2025) -
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching
by: Ray, Anirban, et al.
Published: (2025)