Saved in:
| Main Authors: | Ulrich, Constantin, Knobloch, Catherine, Holzschuh, Julius C., Wald, Tassilo, Rokuss, Maximilian R., Zenk, Maximilian, Fischer, Maximilian, Baumgartner, Michael, Isensee, Fabian, Maier-Hein, Klaus H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.15718 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023)
by: Ulrich, Constantin, et al.
Published: (2023)
Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025)
by: Kirchhoff, Yannick, et al.
Published: (2025)
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
by: Kirchhoff, Yannick, et al.
Published: (2024)
by: Kirchhoff, Yannick, et al.
Published: (2024)
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
by: Rokuss, Maximilian, et al.
Published: (2024)
by: Rokuss, Maximilian, et al.
Published: (2024)
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2025)
by: Roy, Saikat, et al.
Published: (2025)
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
by: Kovacs, Balint, et al.
Published: (2024)
by: Kovacs, Balint, et al.
Published: (2024)
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
by: Rokuss, Maximilian, et al.
Published: (2024)
by: Rokuss, Maximilian, et al.
Published: (2024)
Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
by: Ulrich, Constantin, et al.
Published: (2025)
by: Ulrich, Constantin, et al.
Published: (2025)
A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
by: Nohel, Michal, et al.
Published: (2025)
by: Nohel, Michal, et al.
Published: (2025)
Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
by: Rokuss, Maximilian, et al.
Published: (2025)
by: Rokuss, Maximilian, et al.
Published: (2025)
RadioActive: 3D Radiological Interactive Segmentation Benchmark
by: Ulrich, Constantin, et al.
Published: (2024)
by: Ulrich, Constantin, et al.
Published: (2024)
Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)
by: Rokuss, Maximilian, et al.
Published: (2025)
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
by: Eckstein, Katharina, et al.
Published: (2025)
by: Eckstein, Katharina, et al.
Published: (2025)
Scaling nnU-Net for CBCT Segmentation
by: Isensee, Fabian, et al.
Published: (2024)
by: Isensee, Fabian, et al.
Published: (2024)
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)
by: Isensee, Fabian, et al.
Published: (2024)
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)
by: Roy, Saikat, et al.
Published: (2023)
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
by: Rokuss, Maximilian, et al.
Published: (2025)
by: Rokuss, Maximilian, et al.
Published: (2025)
An OpenMind for 3D medical vision self-supervised learning
by: Wald, Tassilo, et al.
Published: (2024)
by: Wald, Tassilo, et al.
Published: (2024)
nnInteractive: Redefining 3D Promptable Segmentation
by: Isensee, Fabian, et al.
Published: (2025)
by: Isensee, Fabian, et al.
Published: (2025)
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks
by: Wald, Tassilo, et al.
Published: (2024)
by: Wald, Tassilo, et al.
Published: (2024)
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)
by: Fischer, Maximilian, et al.
Published: (2024)
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
by: Wald, Tassilo, et al.
Published: (2025)
by: Wald, Tassilo, et al.
Published: (2025)
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
by: Fischer, Maximilian, et al.
Published: (2025)
by: Fischer, Maximilian, et al.
Published: (2025)
MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
by: Hamm, Benjamin, et al.
Published: (2025)
by: Hamm, Benjamin, et al.
Published: (2025)
VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)
by: Rokuss, Maximilian, et al.
Published: (2025)
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
by: Fischer, Maximilian, et al.
Published: (2024)
by: Fischer, Maximilian, et al.
Published: (2024)
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
by: Kirscher, Tristan, et al.
Published: (2026)
by: Kirscher, Tristan, et al.
Published: (2026)
Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes
by: Fischer, Maximilian, et al.
Published: (2024)
by: Fischer, Maximilian, et al.
Published: (2024)
Revisiting MAE pre-training for 3D medical image segmentation
by: Wald, Tassilo, et al.
Published: (2024)
by: Wald, Tassilo, et al.
Published: (2024)
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
by: Zenk, Maximilian, et al.
Published: (2024)
by: Zenk, Maximilian, et al.
Published: (2024)
A Multi-Stage Fine-Tuning and Ensembling Strategy for Pancreatic Tumor Segmentation in Diagnostic and Therapeutic MRI
by: Durugol, Omer Faruk, et al.
Published: (2025)
by: Durugol, Omer Faruk, et al.
Published: (2025)
Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging
by: Disch, Nico Albert, et al.
Published: (2025)
by: Disch, Nico Albert, et al.
Published: (2025)
CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series
by: Disch, Nico Albert, et al.
Published: (2025)
by: Disch, Nico Albert, et al.
Published: (2025)
Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
by: Gotkowski, Karol, et al.
Published: (2024)
by: Gotkowski, Karol, et al.
Published: (2024)
Image Rotation Angle Estimation: Comparing Circular-Aware Methods
by: Woehrer, Maximilian
Published: (2026)
by: Woehrer, Maximilian
Published: (2026)
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
by: Götz, Michael, et al.
Published: (2024)
by: Götz, Michael, et al.
Published: (2024)
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
by: Hinterberger, Anna, et al.
Published: (2025)
by: Hinterberger, Anna, et al.
Published: (2025)
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
by: Morshuis, Jan Nikolas, et al.
Published: (2025)
by: Morshuis, Jan Nikolas, et al.
Published: (2025)
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
by: Morshuis, Jan Nikolas, et al.
Published: (2024)
by: Morshuis, Jan Nikolas, et al.
Published: (2024)
Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2021-12-22
by: Maahn, Maximilian, et al.
Published: (2023)
by: Maahn, Maximilian, et al.
Published: (2023)
Similar Items
-
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023) -
Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025) -
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
by: Kirchhoff, Yannick, et al.
Published: (2024) -
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
by: Rokuss, Maximilian, et al.
Published: (2024) -
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2025)