Saved in:
| Main Authors: | Mamalakis, Michail, Macfarlane, Sarah C., Notley, Scott V., Gad, Annica K. B, Panoutsos, George |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2309.00911 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
by: Zheng, Yijie, et al.
Published: (2024)
by: Zheng, Yijie, et al.
Published: (2024)
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
by: Tzanis, Eleftherios, et al.
Published: (2025)
by: Tzanis, Eleftherios, et al.
Published: (2025)
Oral squamous cell detection using deep learning
by: Sharma, Samrat Kumar Dev
Published: (2024)
by: Sharma, Samrat Kumar Dev
Published: (2024)
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
by: Yan, Su, et al.
Published: (2026)
by: Yan, Su, et al.
Published: (2026)
Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
by: Chen, Mingyang, et al.
Published: (2025)
by: Chen, Mingyang, et al.
Published: (2025)
Computational interference microscopy enabled by deep learning
by: Jiao, Yuheng, et al.
Published: (2020)
by: Jiao, Yuheng, et al.
Published: (2020)
Three-dimensional neural network driving self-interference digital holography enables high-fidelity, non-scanning volumetric fluorescence microscopy
by: Man, Tianlong, et al.
Published: (2025)
by: Man, Tianlong, et al.
Published: (2025)
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
by: Mamalakis, Michail, et al.
Published: (2024)
by: Mamalakis, Michail, et al.
Published: (2024)
Optimising image capture for low-light widefield quantitative fluorescence microscopy
by: Peterkovic, Zane, et al.
Published: (2024)
by: Peterkovic, Zane, et al.
Published: (2024)
Hybrid deep learning and physics-based neural network for programmable illumination computational microscopy
by: Sun, Ruiqing, et al.
Published: (2024)
by: Sun, Ruiqing, et al.
Published: (2024)
PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
by: Kamran, Sharif A., et al.
Published: (2025)
by: Kamran, Sharif A., et al.
Published: (2025)
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanism
by: Farag, Ramy, et al.
Published: (2024)
by: Farag, Ramy, et al.
Published: (2024)
Efficient UAV trajectory prediction: A multi-modal deep diffusion framework
by: Gao, Yuan, et al.
Published: (2026)
by: Gao, Yuan, et al.
Published: (2026)
Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
by: Jimenez-Mesa, Carmen, et al.
Published: (2025)
by: Jimenez-Mesa, Carmen, et al.
Published: (2025)
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification
by: Mamalakis, Michail, et al.
Published: (2024)
by: Mamalakis, Michail, et al.
Published: (2024)
Digital staining in optical microscopy using deep learning -- a review
by: Kreiss, Lucas, et al.
Published: (2023)
by: Kreiss, Lucas, et al.
Published: (2023)
GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion
by: Lu, Guosheng, et al.
Published: (2024)
by: Lu, Guosheng, et al.
Published: (2024)
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss
by: Panja, Anay, et al.
Published: (2024)
by: Panja, Anay, et al.
Published: (2024)
Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention
by: Valsesia, Diego, et al.
Published: (2024)
by: Valsesia, Diego, et al.
Published: (2024)
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
by: Ahamed, Shadab, et al.
Published: (2024)
by: Ahamed, Shadab, et al.
Published: (2024)
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images
by: Specktor-Fadida, Bella, et al.
Published: (2024)
by: Specktor-Fadida, Bella, et al.
Published: (2024)
Large coordinate kernel attention network for lightweight image super-resolution
by: Hao, Fangwei, et al.
Published: (2024)
by: Hao, Fangwei, et al.
Published: (2024)
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion
by: Harary, Marc, et al.
Published: (2024)
by: Harary, Marc, et al.
Published: (2024)
Hybrid attention structure preserving network for reconstruction of under-sampled OCT images
by: Guo, Zezhao, et al.
Published: (2024)
by: Guo, Zezhao, et al.
Published: (2024)
Application of attention-based Siamese composite neural network in medical image recognition
by: Huang, Zihao, et al.
Published: (2023)
by: Huang, Zihao, et al.
Published: (2023)
Enhanced fringe-to-phase framework using deep learning
by: Kim, Won-Hoe, et al.
Published: (2024)
by: Kim, Won-Hoe, et al.
Published: (2024)
Confocal structured illumination microscopy
by: Zhou, Weishuai, et al.
Published: (2024)
by: Zhou, Weishuai, et al.
Published: (2024)
Automatic segmentation of colorectal liver metastases for ultrasound-based navigated resection
by: Natali, Tiziano, et al.
Published: (2025)
by: Natali, Tiziano, et al.
Published: (2025)
BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
by: Chen, Gongping, et al.
Published: (2023)
by: Chen, Gongping, et al.
Published: (2023)
Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
A framework for river connectivity classification using temporal image processing and attention based neural networks
by: Becker, Timothy James, et al.
Published: (2025)
by: Becker, Timothy James, et al.
Published: (2025)
SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis
by: Xing, Xiaodan, et al.
Published: (2023)
by: Xing, Xiaodan, et al.
Published: (2023)
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
by: Isil, Cagatay, et al.
Published: (2024)
by: Isil, Cagatay, et al.
Published: (2024)
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
by: Fu, Zhaojin, et al.
Published: (2024)
by: Fu, Zhaojin, et al.
Published: (2024)
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 multi-modal approach for identifying schizophrenia using cross-modal attention
by: Premananth, Gowtham, et al.
Published: (2023)
by: Premananth, Gowtham, et al.
Published: (2023)
Implementation of reflection matrix microscopy: An algorithm perspective
by: Kang, Sungsam, et al.
Published: (2024)
by: Kang, Sungsam, et al.
Published: (2024)
Boosting multiple sclerosis lesion segmentation through attention mechanism
by: Rondinella, Alessia, et al.
Published: (2023)
by: Rondinella, Alessia, et al.
Published: (2023)
Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
by: Abulikemu, Subati, et al.
Published: (2025)
by: Abulikemu, Subati, et al.
Published: (2025)
A multitask framework for automated interpretation of multi-frame right upper quadrant ultrasound in clinical decision support
by: Guo, Haiman, et al.
Published: (2026)
by: Guo, Haiman, et al.
Published: (2026)
Similar Items
-
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
by: Zheng, Yijie, et al.
Published: (2024) -
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
by: Tzanis, Eleftherios, et al.
Published: (2025) -
Oral squamous cell detection using deep learning
by: Sharma, Samrat Kumar Dev
Published: (2024) -
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
by: Yan, Su, et al.
Published: (2026) -
Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
by: Chen, Mingyang, et al.
Published: (2025)