Cover Image

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Eckstein, Katharina, Ulrich, Constantin, Baumgartner, Michael, Kächele, Jessica, Bounias, Dimitrios, Wald, Tassilo, Floca, Ralf, Maier-Hein, Klaus H.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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)

A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
by: Nohel, Michal, et al.
Published: (2025)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2025)

Mitigating False Predictions In Unreasonable Body Regions
by: Ulrich, Constantin, et al.
Published: (2024)

An OpenMind for 3D medical vision self-supervised learning
by: Wald, Tassilo, et al.
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)

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)

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

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
by: Fischer, Maximilian, et al.
Published: (2025)

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
by: Rokuss, Maximilian, 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)

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
by: Götz, Michael, 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)

Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation
by: Timpano, Giuseppe, et al.
Published: (2026)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
by: Kirchhoff, Yannick, et al.
Published: (2025)

Deep Image Prior Assisted ISAR Imaging for Missing Data Case
by: Bayar, Necmettin, et al.
Published: (2025)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
by: Fischer, Maximilian, et al.
Published: (2024)

Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
by: Morshuis, Jan Nikolas, et al.
Published: (2025)

Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
by: Morshuis, Jan Nikolas, et al.
Published: (2024)

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
by: Huang, Yuning, et al.
Published: (2024)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
by: Das, Badhan Kumar, et al.
Published: (2025)

MedicoSAM: Robust Improvement of SAM for Medical Imaging
by: Archit, Anwai, et al.
Published: (2025)

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
by: Morshuis, Jan Nikolas, et al.
Published: (2025)

Pre-examinations Improve Automated Metastases Detection on Cranial MRI
by: Deike-Hofmann, Katerina, et al.
Published: (2024)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
by: Ulrich, Constantin, et al.
Published: (2025)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)

Cochlear Implantation of Slim Pre-curved Arrays using Automatic Pre-operative Insertion Plans
by: Tawfik, Kareem O., et al.
Published: (2024)

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space
by: Kapoor, Jaivardhan, et al.
Published: (2025)

Active Learning on Medical Image
by: Biswas, Angona, et al.
Published: (2023)

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
by: Chen, Shuhang, et al.
Published: (2025)

De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
by: Rempe, Moritz, et al.
Published: (2024)

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

Pre-capture Privacy via Adaptive Single-Pixel Imaging
by: Sogabe, Yoko, et al.
Published: (2024)

Automatic classification of prostate MR series type using image content and metadata
by: Krishnaswamy, Deepa, et al.
Published: (2024)

Bayesian reconstruction of sparse raster-scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy
by: Berger, Constantin, et al.
Published: (2024)

IMIL: Interactive Medical Image Learning Framework
by: Rao, Adrit, et al.
Published: (2024)

Privacy-Preserving Autoencoder for Collaborative Object Detection
by: Azizian, Bardia, et al.
Published: (2024)

EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
by: Vezakis, Ioannis A., et al.
Published: (2024)