:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mendel, Robert, Rueckert, Tobias, Wilhelm, Dirk, Rueckert, Daniel, Palm, Christoph
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2403.03120
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
by: Rueckert, Tobias, et al.
Published: (2023)

Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR)
by: Rueckert, Tobias, et al.
Published: (2025)

Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery
by: Schneider, Dennis N., et al.
Published: (2026)

Detecting and clustering swallow events in esophageal long-term high-resolution manometry
by: Geiger, Alexander, et al.
Published: (2024)

Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection
by: Jacob, Athira J, et al.
Published: (2025)

PASTA: Vision Transformer Patch Aggregation for Weakly Supervised Target and Anomaly Segmentation
by: Neubauer, Melanie, et al.
Published: (2026)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation
by: Jacob, Athira J, et al.
Published: (2024)

Evaluation of Deformable Image Registration under Alignment-Regularity Trade-off
by: Sideri-Lampretsa, Vasiliki, et al.
Published: (2025)

Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder
by: Marcus, Adam, et al.
Published: (2026)

Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation
by: Mach, Tim, et al.
Published: (2025)

ChEX: Interactive Localization and Region Description in Chest X-rays
by: Müller, Philip, et al.
Published: (2024)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
by: Guo, Jingjie, et al.
Published: (2023)

SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
by: Neubauer, Melanie, et al.
Published: (2026)

WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images
by: Wu, Yunheng, et al.
Published: (2026)

Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation
by: Pan, Jiazhen, et al.
Published: (2023)

Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance
by: Wohlrapp, Matteo, et al.
Published: (2026)

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
by: Müller, Philip, et al.
Published: (2024)

Kernel Normalized Convolutional Networks
by: Nasirigerdeh, Reza, et al.
Published: (2022)

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
by: Li, Ruochen, et al.
Published: (2024)

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation
by: Molinier, Nathan, et al.
Published: (2026)

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders
by: Dahan, Simon, et al.
Published: (2023)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic
by: Li, Liu, et al.
Published: (2025)

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
by: Lygerakis, Fotios, et al.
Published: (2024)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)

Link Prediction for Flow-Driven Spatial Networks
by: Wittmann, Bastian, et al.
Published: (2023)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
by: Dannecker, Maik, et al.
Published: (2024)

Self-Supervised Ultrasound-Video Segmentation with Feature Prediction and 3D Localised Loss
by: Ellis, Edward, et al.
Published: (2025)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
by: Liu, Che, et al.
Published: (2025)

Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?
by: Langer, Simon, et al.
Published: (2024)

On Moving Object Segmentation from Monocular Video with Transformers
by: Homeyer, Christian, et al.
Published: (2024)

Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
by: Lux, Laurin, et al.
Published: (2024)

Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
by: Zhuge, Yunzhi, et al.
Published: (2025)

Direct Cardiac Segmentation from Undersampled K-space Using Transformers
by: Zhang, Yundi, et al.
Published: (2024)

Towards Generalisable Time Series Understanding Across Domains
by: Turgut, Özgün, et al.
Published: (2024)

Learning Visual Prompts for Guiding the Attention of Vision Transformers
by: Rezaei, Razieh, et al.
Published: (2024)

TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
by: Jian, Bailiang, et al.
Published: (2025)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)

Intensity-based 3D motion correction for cardiac MR images
by: Stolt-Ansó, Nil, et al.
Published: (2024)

No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
by: Zhang, Yundi, et al.
Published: (2026)

Machine Unlearning for Medical Imaging
by: Nasirigerdeh, Reza, et al.
Published: (2024)