Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Intrinsic dimension for evaluating and analyzing neural networks for medical image segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
Understanding deep learning (still) requires rethinking generalization
10.1145/3446776 · 2021 · External reference
Prey capture enhanced Harris Hawks optimizer for wrapper-based feature selection in high-dimensional medical data
10.1016/j.cmpb.2026.109237 · 2026 · External reference
10.1109/cvpr.2016.319
10.1109/cvpr.2016.319 · External reference
A new xAI framework with feature explainability for tumors decision-making in Ultrasound data: comparing with Grad-CAM
10.1016/j.cmpb.2023.107527 · 2023 · External reference
Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas
10.1016/j.cmpb.2024.108379 · 2024 · External reference
Mutual information, neural networks and the renormalization group
10.1038/s41567-018-0081-4 · 2018 · External reference
Brain network classification based on dynamic graph attention information bottleneck
10.1016/j.cmpb.2023.107913 · 2024 · External reference
Feature selection integrating Shapley values and mutual information in reinforcement learning: An application in the prediction of post-operative outcomes in patients with end-stage renal disease
10.1016/j.cmpb.2024.108416 · 2024 · External reference
Intrinsic dimension estimation for robust detection of AI-generated texts
10.52202/075280-1706 · 2023 · External reference
Data-driven discovery of intrinsic dynamics
10.1038/s42256-022-00575-4 · 2022 · External reference
Intrinsic dimension of data representations in deep neural networks
2019 · External reference
The intrinsic manifolds of radiological images and their role in deep learning
2022 · External reference
Estimating model performance under domain shifts with class-specific confidence scores
2022 · External reference
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
10.1186/s12968-019-0523-x · 2019 · External reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · External reference
Automated discovery of fundamental variables hidden in experimental data
10.1038/s43588-022-00281-6 · 2022 · External reference
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing
10.1016/j.artmed.2024.103049 · 2025 · External reference
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
10.1038/s41598-017-11873-y · 2017 · External reference
The generalized ratios intrinsic dimension estimator
10.1038/s41598-022-20991-1 · 2022 · External reference
Intrinsic dimension, persistent homology and generalization in neural networks
2021 · External reference
A geometric view of data complexity: Efficient local intrinsic dimension estimation with diffusion models
10.52202/079017-1211 · 2024 · External reference
Class incremental learning with self-supervised pre-training and prototype learning
10.1016/j.patcog.2024.110943 · 2025 · External reference
Parameter-efficient fine-tuning of large-scale pre-trained language models
10.1038/s42256-023-00626-4 · 2023 · External reference
10.1609/aaai.v37i1.25160
10.1609/aaai.v37i1.25160 · External reference
10.18653/v1/2021.acl-long.568
10.18653/v1/2021.acl-long.568 · External reference
Unresolved reference
External reference
10.1109/cvpr.2019.00411
10.1109/cvpr.2019.00411 · External reference
Unresolved reference
External reference
Mechanisms of dimensionality reduction and decorrelation in deep neural networks
10.1103/physreve.98.062313 · 2018 · External reference
Unresolved reference
External reference
The geometry of hidden representations of large transformer models
10.52202/075280-2230 · 2023 · External reference
Unresolved reference
External reference
Confidence calibration and predictive uncertainty estimation for deep medical image segmentation
10.1109/tmi.2020.3006437 · 2020 · External reference
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
10.1016/j.isprsjprs.2020.01.013 · 2020 · External reference
Improvement of damage segmentation based on pixel-level data balance using VGG-Unet
10.3390/app11020518 · 2021 · External reference
10.1109/cvprw50498.2020.00187
10.1109/cvprw50498.2020.00187 · External reference
SegFormer: Simple and efficient design for semantic segmentation with transformers
2021 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
Unresolved reference
2023 · External reference
Segment anything in medical images
10.1038/s41467-024-44824-z · 2024 · External reference
10.1109/cvpr52733.2024.00305
10.1109/cvpr52733.2024.00305 · External reference
Beyond adapting SAM: Towards end-to-end ultrasound image segmentation via auto prompting
2024 · External reference
MedicoSAM: Robust improvement of SAM for medical imaging
10.1109/tmi.2025.3644811 · 2026 · External reference
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers
10.1016/j.media.2024.103280 · 2024 · External reference
AMOS: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
10.52202/068431-2661 · 2022 · External reference
The multimodal brain tumor image segmentation benchmark (BRATS)
10.1109/tmi.2014.2377694 · 2014 · External reference
3D U-Net: Learning dense volumetric segmentation from sparse annotation
2016 · External reference
