Image de couverture de livre

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lüth, Carsten T., Traub, Jeremias, Kahl, Kim-Celine, Bungert, Till J., Klein, Lukas, Krämer, Lars, Jäger, Paul F., Maier-Hein, Klaus, Isensee, Fabian
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
par: Lüth, Carsten T., et autres
Publié: (2025)

Overcoming Common Flaws in the Evaluation of Selective Classification Systems
par: Traub, Jeremias, et autres
Publié: (2024)

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
par: Kahl, Kim-Celine, et autres
Publié: (2024)

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
par: Klein, Lukas, et autres
Publié: (2024)

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
par: Zenk, Maximilian, et autres
Publié: (2024)

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
par: Kahl, Kim-Celine, et autres
Publié: (2024)

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
par: Kirscher, Tristan, et autres
Publié: (2026)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
par: Gotkowski, Karol, et autres
Publié: (2024)

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities
par: Amara, Kenza, et autres
Publié: (2024)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
par: Kirchhoff, Yannick, et autres
Publié: (2025)

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
par: Rokuss, Maximilian, et autres
Publié: (2025)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
par: Ulrich, Constantin, et autres
Publié: (2025)

Scaling nnU-Net for CBCT Segmentation
par: Isensee, Fabian, et autres
Publié: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
par: Ulrich, Constantin, et autres
Publié: (2023)

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
par: Kovacs, Balint, et autres
Publié: (2024)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
par: Roy, Saikat, et autres
Publié: (2025)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
par: Isensee, Fabian, et autres
Publié: (2024)

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
par: Rokuss, Maximilian, et autres
Publié: (2024)

Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
par: Roy, Kankana, et autres
Publié: (2025)

The convergence rate of $p$-harmonic to infinity-harmonic functions
par: Bungert, Leon
Publié: (2023)

nnInteractive: Redefining 3D Promptable Segmentation
par: Isensee, Fabian, et autres
Publié: (2025)

A crustal model along 39°S from a seismic refraction profile-ISSA 2000
par: Stefan Lüth
Publié: (2003)

Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation
par: Rädsch, Tim, et autres
Publié: (2025)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
par: Roy, Saikat, et autres
Publié: (2023)

Could Humans Outshine AI in Visual Data Analysis?
par: Koonchanok, Ratanond, et autres
Publié: (2024)

Protistan Predators Outshine Fungi in Forest Soil Activity
par: Longfei Kang, et autres
Publié: (2026)

VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
par: Rokuss, Maximilian, et autres
Publié: (2025)

Quality Assured: Rethinking Annotation Strategies in Imaging AI
par: Rädsch, Tim, et autres
Publié: (2024)

MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
par: Hamm, Benjamin, et autres
Publié: (2025)

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
par: Liu, Qijiong, et autres
Publié: (2025)

Hoogstraalia turdella, a new genus and species of flea from the Philippines
par: Traub, Robert
Publié: (1951)

Descripción del manejo cosmético de la pirámide nasal complementario a cirugía ortognática. Revisión narrativa.
par: Vicente Traub
Publié: (2021)

Successive Interference Cancellation for Optical Fiber Using Discrete Constellations
par: Jäger, Alex, et autres
Publié: (2024)

Information Rates of Successive Interference Cancellation for Optical Fiber
par: Jäger, Alex, et autres
Publié: (2024)

Feedforward Phase Noise Compensation for Intersymbol Interference Channels
par: Jäger, Alex, et autres
Publié: (2026)

Pollen record from Lake Skogstjern, Telemark, Southeast Norway
par: Wieckowska-Lüth, Magdalena
Publié: (2018)

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks
par: Wald, Tassilo, et autres
Publié: (2024)

Order and shape dependence of mechanical relaxation in proliferating active matter
par: Isensee, Jonas, et autres
Publié: (2025)

Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
par: Guarino, Vanessa Emanuela, et autres
Publié: (2026)

Being like Both: Library Instruction Methods that Outshine the One-Shot
par: Bean, Teresa M., et autres
Publié: (2010)