Image de couverture de livre

Rule-based outlier detection of AI-generated anatomy segmentations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krishnaswamy, Deepa, Thiriveedhi, Vamsi Krishna, Ciausu, Cosmin, Clunie, David, Pieper, Steve, Kikinis, Ron, Fedorov, Andrey
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
par: Krishnaswamy, Deepa, et autres
Publié: (2025)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
par: Ciausu, Cosmin, et autres
Publié: (2024)

In search of truth: Evaluating concordance of AI-based anatomy segmentation models
par: Giebeler, Lena, et autres
Publié: (2025)

Automatic classification of prostate MR series type using image content and metadata
par: Krishnaswamy, Deepa, et autres
Publié: (2024)

AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons
par: Murugesan, Gowtham Krishnan, et autres
Publié: (2023)

Robustness and accuracy of mean opinion scores with hard and soft outlier detection
par: Saupe, Dietmar, et autres
Publié: (2025)

Bitrate Ladder Construction using Visual Information Fidelity
par: Durbha, Krishna Srikar, et autres
Publié: (2023)

Coronary artery calcification assessment in National Lung Screening Trial CT images (DeepCAC2)
par: Nürnberg, Leonard, et autres
Publié: (2026)

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI
par: Himmetoglu, Meva, et autres
Publié: (2025)

Improving ovarian cancer segmentation accuracy with transformers through AI-guided labeling
par: Rangnekar, Aneesh, et autres
Publié: (2024)

Bounds on Agreement between Subjective and Objective Measurements
par: Pieper, Jaden, et autres
Publié: (2026)

DFS-based fast crack detection
par: Nguyen, Duc, et autres
Publié: (2024)

AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons
par: Murugesan, Gowtham Krishnan, et autres
Publié: (2024)

Attention-ResUNet and EfficientSASM-UNet: UNet based frameworks for Lung and Nodule segmentation
par: Abdullah, Muhammad, et autres
Publié: (2025)

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization
par: Carneiro-Esteves, Sophie, et autres
Publié: (2024)

On hallucinations in AI-generated content for nuclear medicine imaging (the DREAM report)
par: Xia, Menghua, et autres
Publié: (2025)

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement
par: Cho, Hyunwoo, et autres
Publié: (2026)

UAV-based detection of landmines using infrared thermography
par: Butt, Muhammad Umair Akram, et autres
Publié: (2024)

AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection
par: Kaul, Chaitanya, et autres
Publié: (2024)

Interactive decision support system for lung cancer segmentation
par: Sydorskyi, Volodymyr
Publié: (2024)

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy
par: Xue, Hui, et autres
Publié: (2024)

Direct vascular territory segmentation on cerebral digital subtraction angiography
par: van der Sluijs, P. Matthijs, et autres
Publié: (2025)

Boosting multiple sclerosis lesion segmentation through attention mechanism
par: Rondinella, Alessia, et autres
Publié: (2023)

Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
par: Mykula, Hanna, et autres
Publié: (2024)

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
par: Vasa, Vamsi Krishna, et autres
Publié: (2024)

Reconstruction-free segmentation from undersampled k-space using transformers
par: Zhang, Yundi, et autres
Publié: (2025)

Rethinking domain generalization in medical image segmentation: One image as one domain
par: Hong, Jin, et autres
Publié: (2025)

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions
par: Wynen, Maxence, et autres
Publié: (2025)

Random forest-based out-of-distribution detection for robust lung cancer segmentation
par: Rangnekar, Aneesh, et autres
Publié: (2025)

Appeal prediction for AI up-scaled Images
par: Göring, Steve, et autres
Publié: (2025)

Region of interest detection for efficient aortic segmentation
par: Giordano, Loris, et autres
Publié: (2026)

Cross-modal tumor segmentation using generative blending augmentation and self training
par: Sallé, Guillaume, et autres
Publié: (2023)

Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection
par: Kim, Jisoo, et autres
Publié: (2025)

Volumetric segmentation of muscle compartments using in vivo imaging and architectural validation in human finger flexors
par: Li, Yang
Publié: (2025)

GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI
par: Fortin, Marc-Antoine, et autres
Publié: (2025)

Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases
par: Coupé, Pierrick, et autres
Publié: (2025)

Constructing Per-Shot Bitrate Ladders using Visual Information Fidelity
par: Durbha, Krishna Srikar, et autres
Publié: (2024)

Pre-processing and quality control of large clinical CT head datasets for intracranial arterial calcification segmentation
par: Jin, Benjamin, et autres
Publié: (2024)

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT
par: Huang, Junwei, et autres
Publié: (2025)

ASCHOPLEX encounters Dafne: a federated continuous learning project for the generalizability of the Choroid Plexus automatic segmentation
par: Visani, Valentina, et autres
Publié: (2025)