Saved in:
| Main Authors: | Ozkan, Ece, Boix, Xavier |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.06737 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-shot skill assessment in high-stakes domains with limited data via meta learning
by: Yanik, Erim, et al.
Published: (2022)
by: Yanik, Erim, et al.
Published: (2022)
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
by: Tomar, Dhananjay, et al.
Published: (2024)
by: Tomar, Dhananjay, et al.
Published: (2024)
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
by: Zhou, Juexiao, et al.
Published: (2023)
by: Zhou, Juexiao, et al.
Published: (2023)
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
by: Santini, Francesco, et al.
Published: (2023)
by: Santini, Francesco, et al.
Published: (2023)
Deep learning in medical image registration: introduction and survey
by: Hammoudeh, Ahmad, et al.
Published: (2023)
by: Hammoudeh, Ahmad, et al.
Published: (2023)
Random forest-based out-of-distribution detection for robust lung cancer segmentation
by: Rangnekar, Aneesh, et al.
Published: (2025)
by: Rangnekar, Aneesh, et al.
Published: (2025)
Which images to label for few-shot medical landmark detection?
by: Quan, Quan, et al.
Published: (2021)
by: Quan, Quan, et al.
Published: (2021)
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
by: Rangnekar, Aneesh, et al.
Published: (2025)
by: Rangnekar, Aneesh, 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)
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
by: Sadeghnezhad, Elham, et al.
Published: (2024)
by: Sadeghnezhad, Elham, et al.
Published: (2024)
Bi-modality medical images synthesis by a bi-directional discrete process matching method
by: Xiong, Zhe, et al.
Published: (2024)
by: Xiong, Zhe, et al.
Published: (2024)
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
by: Akbar, Muhammad Usman, et al.
Published: (2023)
by: Akbar, Muhammad Usman, et al.
Published: (2023)
Is attention all you need in medical image analysis? A review
by: Papanastasiou, Giorgos, et al.
Published: (2023)
by: Papanastasiou, Giorgos, et al.
Published: (2023)
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion
by: Guo, Lianghu, et al.
Published: (2024)
by: Guo, Lianghu, et al.
Published: (2024)
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions
by: Di Salvo, Francesco, et al.
Published: (2024)
by: Di Salvo, Francesco, et al.
Published: (2024)
Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
by: Zalevskyi, Vladyslav, et al.
Published: (2024)
by: Zalevskyi, Vladyslav, et al.
Published: (2024)
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
by: Diaz, Ivan, et al.
Published: (2023)
by: Diaz, Ivan, et al.
Published: (2023)
Self-supervised denoising of visual field data improves detection of glaucoma progression
by: Wu, Sean, et al.
Published: (2024)
by: Wu, Sean, et al.
Published: (2024)
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images
by: Burke, Jamie, et al.
Published: (2024)
by: Burke, Jamie, et al.
Published: (2024)
Self-supervised learning for skin cancer diagnosis with limited training data
by: Haggerty, Hamish, et al.
Published: (2024)
by: Haggerty, Hamish, et al.
Published: (2024)
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
by: Primakov, Sergey, et al.
Published: (2022)
by: Primakov, Sergey, et al.
Published: (2022)
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
by: Jang, Jongseong, et al.
Published: (2022)
by: Jang, Jongseong, et al.
Published: (2022)
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
by: Mill, Leonid, et al.
Published: (2022)
by: Mill, Leonid, et al.
Published: (2022)
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
by: Nguyen, Tan H., et al.
Published: (2023)
by: Nguyen, Tan H., et al.
Published: (2023)
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
by: Zhang, Yifu, et al.
Published: (2023)
by: Zhang, Yifu, et al.
Published: (2023)
Using generative AI to investigate medical imagery models and datasets
by: Lang, Oran, et al.
Published: (2023)
by: Lang, Oran, et al.
Published: (2023)
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
by: Redlich, Jan-Philipp, et al.
Published: (2024)
by: Redlich, Jan-Philipp, et al.
Published: (2024)
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation
by: Lee, Junhyeok, et al.
Published: (2024)
by: Lee, Junhyeok, et al.
Published: (2024)
From Slices to Structures: Unsupervised 3D Reconstruction of Female Pelvic Anatomy from Freehand Transvaginal Ultrasound
by: Krähenmann, Max, et al.
Published: (2025)
by: Krähenmann, Max, et al.
Published: (2025)
Deep Representation Learning for Unsupervised Clustering of Myocardial Fiber Trajectories in Cardiac Diffusion Tensor Imaging
by: Anand, Mohini, et al.
Published: (2025)
by: Anand, Mohini, et al.
Published: (2025)
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study
by: Despotovic, Vladimir, et al.
Published: (2023)
by: Despotovic, Vladimir, et al.
Published: (2023)
A comparative analysis of deep learning models for lung segmentation on X-ray images
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images
by: Burke, Jamie, et al.
Published: (2024)
by: Burke, Jamie, et al.
Published: (2024)
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
by: Oliveira, Guilherme C., et al.
Published: (2022)
by: Oliveira, Guilherme C., et al.
Published: (2022)
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI
by: Spagnolo, Federico, et al.
Published: (2024)
by: Spagnolo, Federico, et al.
Published: (2024)
A hybrid approach for improving U-Net variants in medical image segmentation
by: Gupta, Aitik, et al.
Published: (2023)
by: Gupta, Aitik, et al.
Published: (2023)
Attention-aware non-rigid image registration for accelerated MR imaging
by: Ghoul, Aya, et al.
Published: (2024)
by: Ghoul, Aya, et al.
Published: (2024)
Automated Coastline Extraction Using Edge Detection Algorithms
by: O'Sullivan, Conor, et al.
Published: (2024)
by: O'Sullivan, Conor, et al.
Published: (2024)
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
by: Gautam, Vidit
Published: (2022)
by: Gautam, Vidit
Published: (2022)
Similar Items
-
One-shot skill assessment in high-stakes domains with limited data via meta learning
by: Yanik, Erim, et al.
Published: (2022) -
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
by: Tomar, Dhananjay, et al.
Published: (2024) -
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
by: Zhou, Juexiao, et al.
Published: (2023) -
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024) -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
by: Santini, Francesco, et al.
Published: (2023)