Qubit-efficient Variational Quantum Algorithms for Image Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Venkatesh, Supreeth Mysore, Macaluso, Antonio, Nuske, Marlon, Klusch, Matthias, Dengel, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
by: Venkatesh, Supreeth Mysore, et al.
Published: (2023)
by: Venkatesh, Supreeth Mysore, et al.
Published: (2023)
Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites
by: Venkatesh, Supreeth Mysore, et al.
Published: (2024)
by: Venkatesh, Supreeth Mysore, et al.
Published: (2024)
i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
by: Venkatesh, Supreeth Mysore, et al.
Published: (2025)
by: Venkatesh, Supreeth Mysore, et al.
Published: (2025)
Edge-based Denoising Image Compression
by: Morita, Ryugo, et al.
Published: (2024)
by: Morita, Ryugo, et al.
Published: (2024)
Quantum-Assisted Correlation Clustering
by: Macaluso, Antonio, et al.
Published: (2025)
by: Macaluso, Antonio, et al.
Published: (2025)
Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
by: Kulyabin, Mikhail, et al.
Published: (2024)
by: Kulyabin, Mikhail, et al.
Published: (2024)
Hybrid Quantum-Classical AI for Industrial Defect Classification in Welding Images
by: Srinivasan, Akshaya, et al.
Published: (2026)
by: Srinivasan, Akshaya, et al.
Published: (2026)
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation
by: Srinivasan, Akshaya, et al.
Published: (2024)
by: Srinivasan, Akshaya, et al.
Published: (2024)
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
by: Feng, Chun-Mei
Published: (2024)
by: Feng, Chun-Mei
Published: (2024)
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
by: Dutta, Siddhant, et al.
Published: (2025)
by: Dutta, Siddhant, et al.
Published: (2025)
SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images
by: Azimi, Rambod, et al.
Published: (2024)
by: Azimi, Rambod, et al.
Published: (2024)
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)
by: Lorenzana, Marlon Bran, et al.
Published: (2023)
An Image Segmentation Model with Transformed Total Variation
by: Dayag, Elisha, et al.
Published: (2024)
by: Dayag, Elisha, et al.
Published: (2024)
Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging
by: Shrestha, Prajol, et al.
Published: (2024)
by: Shrestha, Prajol, et al.
Published: (2024)
Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)
by: Ma, Jun, et al.
Published: (2023)
Learning a Model-Driven Variational Network for Deformable Image Registration
by: Jia, Xi, et al.
Published: (2021)
by: Jia, Xi, et al.
Published: (2021)
Learned Image Transmission with Hierarchical Variational Autoencoder
by: Zhang, Guangyi, et al.
Published: (2024)
by: Zhang, Guangyi, et al.
Published: (2024)
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
by: Kebaili, Aghiles, et al.
Published: (2024)
by: Kebaili, Aghiles, et al.
Published: (2024)
Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing
by: Andrejic, Nikola, et al.
Published: (2025)
by: Andrejic, Nikola, et al.
Published: (2025)
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)
by: Das, Badhan Kumar, et al.
Published: (2025)
Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback
by: de Langlais, Alix, et al.
Published: (2025)
by: de Langlais, Alix, et al.
Published: (2025)
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
by: Bonazzi, Pietro, et al.
Published: (2023)
by: Bonazzi, Pietro, et al.
Published: (2023)
Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images
by: Yoo, Jay J., et al.
Published: (2022)
by: Yoo, Jay J., et al.
Published: (2022)
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
by: Sagar, Abhinav
Published: (2020)
by: Sagar, Abhinav
Published: (2020)
Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)
by: Liua, Zhaoshan, et al.
Published: (2024)
Unrolling Nonconvex Graph Total Variation for Image Denoising
by: Wei, Songlin, et al.
Published: (2025)
by: Wei, Songlin, et al.
Published: (2025)
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)
by: Javed, Syed, et al.
Published: (2024)
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
by: Öttl, Mathias, et al.
Published: (2022)
by: Öttl, Mathias, et al.
Published: (2022)
Wavelet-based Variational Autoencoders for High-Resolution Image Generation
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Real-time Neuron Segmentation for Voltage Imaging
by: Bando, Yosuke, et al.
Published: (2024)
by: Bando, Yosuke, et al.
Published: (2024)
Interactive Segmentation and Report Generation for CT Images
by: Gu, Yannian, et al.
Published: (2025)
by: Gu, Yannian, et al.
Published: (2025)
Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
Image Segmentation: Inducing graph-based learning
by: Singh, Aryan, et al.
Published: (2025)
by: Singh, Aryan, et al.
Published: (2025)
Compositional Segmentation of Cardiac Images Leveraging Metadata
by: Khan, Abbas, et al.
Published: (2024)
by: Khan, Abbas, et al.
Published: (2024)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
by: Morshuis, Jan Nikolas, et al.
Published: (2024)
by: Morshuis, Jan Nikolas, et al.
Published: (2024)
Similar Items
-
Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
by: Venkatesh, Supreeth Mysore, et al.
Published: (2023) -
Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites
by: Venkatesh, Supreeth Mysore, et al.
Published: (2024) -
i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
by: Venkatesh, Supreeth Mysore, et al.
Published: (2025) -
Edge-based Denoising Image Compression
by: Morita, Ryugo, et al.
Published: (2024) -
Quantum-Assisted Correlation Clustering
by: Macaluso, Antonio, et al.
Published: (2025)