Hyperspectral Reconstruction of Skin Through Fusion of Scattering Transform Features
Fuente:
arXiv
Saved in:
| Main Authors: | Czaja, Wojciech, Emidih, Jeremiah, Kolstoe, Brandon, Spencer, Richard G. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
by: Dobiczek, Karol, et al.
Published: (2026)
by: Dobiczek, Karol, et al.
Published: (2026)
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024)
by: Krones, Felix, et al.
Published: (2024)
Hyperspectral Image Data Reduction for Endmember Extraction
by: Mizutani, Tomohiko
Published: (2025)
by: Mizutani, Tomohiko
Published: (2025)
Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling
by: Ho, Chi-Jui, et al.
Published: (2026)
by: Ho, Chi-Jui, et al.
Published: (2026)
Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing
by: Ratnayake, R. M. K. L., et al.
Published: (2024)
by: Ratnayake, R. M. K. L., et al.
Published: (2024)
Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective
by: Preston, Jade, et al.
Published: (2024)
by: Preston, Jade, et al.
Published: (2024)
Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models
by: Konrad, Phongsakon Mark, et al.
Published: (2026)
by: Konrad, Phongsakon Mark, et al.
Published: (2026)
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)
by: Akter, Maksuda, et al.
Published: (2024)
Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging
by: Valdy, Laurentius, et al.
Published: (2025)
by: Valdy, Laurentius, et al.
Published: (2025)
Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings
by: Ridge, Jeremiah, et al.
Published: (2024)
by: Ridge, Jeremiah, et al.
Published: (2024)
Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)
by: Li, Xiaoyan, et al.
Published: (2025)
Endmember Extraction from Hyperspectral Images Using Self-Dictionary Approach with Linear Programming
by: Mizutani, Tomohiko
Published: (2024)
by: Mizutani, Tomohiko
Published: (2024)
High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2025)
by: Stevens, Tristan S. W., et al.
Published: (2025)
A Multicollinearity-Aware Signal-Processing Framework for Cross-$β$ Identification via X-ray Scattering of Alzheimer's Tissue
by: Bashit, Abdullah Al, et al.
Published: (2025)
by: Bashit, Abdullah Al, et al.
Published: (2025)
Efficient Deep Model-Based Optoacoustic Image Reconstruction
by: Dehner, Christoph, et al.
Published: (2024)
by: Dehner, Christoph, et al.
Published: (2024)
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
by: Jiang, Wei, et al.
Published: (2023)
by: Jiang, Wei, et al.
Published: (2023)
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
by: Heckel, Reinhard, et al.
Published: (2024)
by: Heckel, Reinhard, et al.
Published: (2024)
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
by: Wang, Andrew, et al.
Published: (2025)
by: Wang, Andrew, et al.
Published: (2025)
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
by: Hao, Degan, et al.
Published: (2024)
by: Hao, Degan, et al.
Published: (2024)
Enhancing Fourier Neural Operators with Local Spatial Features
by: Liu, Chaoyu, et al.
Published: (2025)
by: Liu, Chaoyu, et al.
Published: (2025)
Physics-Embedded Feature Learning for AI in Medical Imaging
by: Das, Pulock, et al.
Published: (2026)
by: Das, Pulock, et al.
Published: (2026)
Detecting Out-of-Distribution Through the Lens of Neural Collapse
by: Liu, Litian, et al.
Published: (2023)
by: Liu, Litian, et al.
Published: (2023)
Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
by: Yurt, Mahmut, et al.
Published: (2026)
by: Yurt, Mahmut, et al.
Published: (2026)
Measurement Score-Based MRI Reconstruction with Automatic Coil Sensitivity Estimation
by: Liu, Tingjun, et al.
Published: (2025)
by: Liu, Tingjun, et al.
Published: (2025)
Scaling Next-Brain-Token Prediction for MEG
by: Csaky, Richard
Published: (2026)
by: Csaky, Richard
Published: (2026)
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
by: Shang, Ruibo, et al.
Published: (2024)
by: Shang, Ruibo, et al.
Published: (2024)
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
by: Weiser, Paul, et al.
Published: (2024)
by: Weiser, Paul, et al.
Published: (2024)
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
by: Paschali, Magdalini, et al.
Published: (2024)
by: Paschali, Magdalini, et al.
Published: (2024)
Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions
by: Morik, Marco, et al.
Published: (2024)
by: Morik, Marco, et al.
Published: (2024)
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
by: Liang, Shijun, et al.
Published: (2022)
by: Liang, Shijun, et al.
Published: (2022)
Reconstructing physiological signals from fMRI across the adult lifespan
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
by: Ma, Haroui, et al.
Published: (2025)
by: Ma, Haroui, et al.
Published: (2025)
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
by: Ashtiani, Shaghayegh Z., et al.
Published: (2024)
by: Ashtiani, Shaghayegh Z., et al.
Published: (2024)
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
by: Qamar, Saqib, et al.
Published: (2025)
by: Qamar, Saqib, et al.
Published: (2025)
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks
by: Serino, Daniel A., et al.
Published: (2024)
by: Serino, Daniel A., et al.
Published: (2024)
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
by: Pramanik, Aniket, et al.
Published: (2025)
by: Pramanik, Aniket, et al.
Published: (2025)
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
by: Varahagiri, Shyam, et al.
Published: (2024)
by: Varahagiri, Shyam, et al.
Published: (2024)
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery
by: Black, David, et al.
Published: (2024)
by: Black, David, et al.
Published: (2024)
On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection
by: Dominique, Brandon, et al.
Published: (2025)
by: Dominique, Brandon, et al.
Published: (2025)
RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics
by: Zhang, Bojun, et al.
Published: (2026)
by: Zhang, Bojun, et al.
Published: (2026)
Similar Items
-
Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
by: Dobiczek, Karol, et al.
Published: (2026) -
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024) -
Hyperspectral Image Data Reduction for Endmember Extraction
by: Mizutani, Tomohiko
Published: (2025) -
Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling
by: Ho, Chi-Jui, et al.
Published: (2026) -
Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing
by: Ratnayake, R. M. K. L., et al.
Published: (2024)