Copertina

Automatic classification of prostate MR series type using image content and metadata

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Krishnaswamy, Deepa, Kovács, Bálint, Denner, Stefan, Pieper, Steve, Clunie, David, Bridge, Christopher P., Kapur, Tina, Maier-Hein, Klaus H., Fedorov, Andrey
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rule-based outlier detection of AI-generated anatomy segmentations
di: Krishnaswamy, Deepa, et al.
Pubblicazione: (2024)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
di: Ciausu, Cosmin, et al.
Pubblicazione: (2024)

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
di: Krishnaswamy, Deepa, et al.
Pubblicazione: (2025)

In search of truth: Evaluating concordance of AI-based anatomy segmentation models
di: Giebeler, Lena, et al.
Pubblicazione: (2025)

CGCI-HTMCP-CC: DICOM converted whole slide images from the Cancer Genome Characterization Initiative (CGCI) HIV+ Tumor Molecular Characterization Project (HTMCP) - Cervical Cancer
di: Clunie, David, et al.
Pubblicazione: (2026)

CGCI-HTMCP-DLBCL: DICOM converted whole slide images from the Cancer Genome Characterization Initiative (CGCI) HIV+ Tumor Molecular Characterization Project (HTMCP) - Diffuse Large B-CellLymphoma
di: Clunie, David, et al.
Pubblicazione: (2026)

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
di: Kovacs, Balint, et al.
Pubblicazione: (2024)

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
di: Rokuss, Maximilian, et al.
Pubblicazione: (2024)

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
di: Rokuss, Maximilian, et al.
Pubblicazione: (2024)

The NCI Imaging Data Commons as a platform for reproducible research in computational pathology
di: Schacherer, Daniela P., et al.
Pubblicazione: (2023)

Visual Prompt Engineering for Vision Language Models in Radiology
di: Denner, Stefan, et al.
Pubblicazione: (2024)

Automated Ensemble Multimodal Machine Learning for Healthcare
di: Imrie, Fergus, et al.
Pubblicazione: (2024)

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
di: Kirscher, Tristan, et al.
Pubblicazione: (2026)

A novel network for classification of cuneiform tablet metadata
di: Hagelskjær, Frederik
Pubblicazione: (2026)

LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI
di: Godau, Patrick, et al.
Pubblicazione: (2024)

DiagSet: a dataset for prostate cancer histopathological image classification
di: Koziarski, Michał, et al.
Pubblicazione: (2021)

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
di: Kirchhoff, Yannick, et al.
Pubblicazione: (2024)

A deep‐learning framework for the prediction of the type of adaptive strategy of MR‐guided prostate radiotherapy
di: Wenlong Xia, et al.
Pubblicazione: (2025)

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images
di: Pocius, Martynas, et al.
Pubblicazione: (2024)

Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers
di: Varga, Balint, et al.
Pubblicazione: (2025)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
di: Gotkowski, Karol, et al.
Pubblicazione: (2024)

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks
di: Wald, Tassilo, et al.
Pubblicazione: (2024)

Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
di: Rasheed, Hassan, et al.
Pubblicazione: (2024)

Advancing standards in biomedical image analysis validation: A perspective on Metrics Reloaded
di: Annika Reinke, et al.
Pubblicazione: (2025)

Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments
di: Akünal, Ünal, et al.
Pubblicazione: (2025)

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
di: Götz, Michael, et al.
Pubblicazione: (2024)

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
di: Bartlewski, Julia, et al.
Pubblicazione: (2025)

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
di: Götz, Michael, et al.
Pubblicazione: (2024)

MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
di: Hamm, Benjamin, et al.
Pubblicazione: (2025)

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

Enhancing predictive imaging biomarker discovery through treatment effect analysis
di: Xiao, Shuhan, et al.
Pubblicazione: (2024)

Porcine Cytomegalovirus/Porcine Roseolovirus (PCMV/PRV) and Antiviral Drugs
di: Joachim Denner
Pubblicazione: (2025)

The Kirkwood-Bethe hypothesis for bubble dynamics, cavitation and underwater explosions
di: Denner, Fabian
Pubblicazione: (2024)

Acoustic pressure modulation driven by spatially non-uniform flow
di: Denner, Fabian
Pubblicazione: (2024)

Water droplet dynamics and evaporation in airtanker firefighting
di: Denner, Fabian
Pubblicazione: (2026)

OMICS Analyses in Xenotransplantation: Initial Findings, Key Precautions, and Virus Infections
di: Joachim Denner
Pubblicazione: (2025)

HDP Component — Image Metadata Extractor (image_metadata_extractor)
di: Ukolov, Dominik
Pubblicazione: (2025)

DICODerma: A practical approach for metadata management of images in dermatology
di: Eapen, Bell Raj, et al.
Pubblicazione: (2021)

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac
di: Yuan Xu, et al.
Pubblicazione: (2025)