Copertina

Intelligent Multi-View Test Time Augmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ozturk, Efe, Prabhushankar, Mohit, AlRegib, Ghassan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
di: Fowler, Zoe, et al.
Pubblicazione: (2026)

Ophthalmic Biomarker Detection: Highlights from the IEEE Video and Image Processing Cup 2023 Student Competition
di: AlRegib, Ghassan, et al.
Pubblicazione: (2024)

VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
di: Prabhushankar, Mohit, et al.
Pubblicazione: (2024)

Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
di: Prabhushankar, Mohit, et al.
Pubblicazione: (2024)

Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets
di: Kaviani, Ghazal, et al.
Pubblicazione: (2024)

ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
di: Mustafa, Ahmad, et al.
Pubblicazione: (2025)

Transitional Uncertainty with Layered Intermediate Predictions
di: Benkert, Ryan, et al.
Pubblicazione: (2024)

Effective Data Selection for Seismic Interpretation through Disagreement
di: Benkert, Ryan, et al.
Pubblicazione: (2024)

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
di: Kokilepersaud, Kiran, et al.
Pubblicazione: (2025)

Targeting Negative Flips in Active Learning using Validation Sets
di: Benkert, Ryan, et al.
Pubblicazione: (2024)

Information Router for Mitigating Modality Dominance in Vision-Language Models
di: Kim, Seulgi, et al.
Pubblicazione: (2026)

Perceptual Quality-based Model Training under Annotator Label Uncertainty
di: Zhou, Chen, et al.
Pubblicazione: (2024)

Multi-level and Multi-modal Action Anticipation
di: Kim, Seulgi, et al.
Pubblicazione: (2025)

Countering Multi-modal Representation Collapse through Rank-targeted Fusion
di: Kim, Seulgi, et al.
Pubblicazione: (2025)

A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking
di: Chowdhury, Prithwijit, et al.
Pubblicazione: (2026)

Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis
di: Chowdhury, Prithwijit, et al.
Pubblicazione: (2024)

Subject Invariant Contrastive Learning for Human Activity Recognition
di: Yarici, Yavuz, et al.
Pubblicazione: (2025)

Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
di: Cui, Shuang, et al.
Pubblicazione: (2025)

A Deep Learning-Driven Pipeline for Differentiating Hypertrophic Cardiomyopathy from Cardiac Amyloidosis Using 2D Multi-View Echocardiography
di: Peng, Bo, et al.
Pubblicazione: (2024)

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
di: Kirscher, Tristan, et al.
Pubblicazione: (2025)

An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
di: Chaudhary, Neil, et al.
Pubblicazione: (2025)

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
di: Aggarwal, Himanshu, et al.
Pubblicazione: (2024)

A Multicollinearity-Aware Signal-Processing Framework for Cross-$β$ Identification via X-ray Scattering of Alzheimer's Tissue
di: Bashit, Abdullah Al, et al.
Pubblicazione: (2025)

Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
di: Luo, Xinyu, et al.
Pubblicazione: (2025)

Temporal Representation Learning for Real-Time Ultrasound Analysis
di: Stebler, Yves, et al.
Pubblicazione: (2025)

Gradient based Severity Labeling for Biomarker Classification in OCT
di: Kokilepersaud, Kiran, et al.
Pubblicazione: (2026)

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
di: Stevens, William, et al.
Pubblicazione: (2026)

BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
di: Chowdhury, Prithwijit, et al.
Pubblicazione: (2026)

Physics-Embedded Feature Learning for AI in Medical Imaging
di: Das, Pulock, et al.
Pubblicazione: (2026)

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
di: Fischer, Paul, et al.
Pubblicazione: (2025)

Multi-modal deformable image registration using untrained neural networks
di: Nguyen, Quang Luong Nhat, et al.
Pubblicazione: (2024)

Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging
di: Valdy, Laurentius, et al.
Pubblicazione: (2025)

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
di: Zafari, Yalda, et al.
Pubblicazione: (2025)

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
di: Duan, Peiyu, et al.
Pubblicazione: (2026)

Multi-Resolution Analysis of the Convective Structure of Tropical Cyclones for Short-Term Intensity Guidance
di: Cucuzzella, Elizabeth, et al.
Pubblicazione: (2025)

A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
di: Shan, Yiwen, et al.
Pubblicazione: (2023)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
di: Diakite, Alou, et al.
Pubblicazione: (2024)

LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
di: Dong, Yaoxian, et al.
Pubblicazione: (2025)

ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging
di: Takaya, Eichi, et al.
Pubblicazione: (2025)

Federated Multi-View Synthesizing for Metaverse
di: Guo, Yiyu, et al.
Pubblicazione: (2023)