Saved in:
| Main Authors: | Meyer, Adrien, Murali, Aditya, Zarin, Farahdiba, Mutter, Didier, Padoy, Nicolas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.16222 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching
by: Murali, Aditya, et al.
Published: (2024)
by: Murali, Aditya, et al.
Published: (2024)
Artificial Intelligence for the Assessment of Peritoneal Carcinosis during Diagnostic Laparoscopy for Advanced Ovarian Cancer
by: Oliva, Riccardo, et al.
Published: (2025)
by: Oliva, Riccardo, et al.
Published: (2025)
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
by: Huang, Ziyang, et al.
Published: (2026)
by: Huang, Ziyang, et al.
Published: (2026)
Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)
by: Wang, Fangyijie, et al.
Published: (2026)
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
by: Ma, Chen, et al.
Published: (2025)
by: Ma, Chen, et al.
Published: (2025)
Semantic Communications using Foundation Models: Design Approaches and Open Issues
by: Jiang, Peiwen, et al.
Published: (2023)
by: Jiang, Peiwen, et al.
Published: (2023)
Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
by: Wang, Fangyijie, et al.
Published: (2026)
by: Wang, Fangyijie, et al.
Published: (2026)
USFM: A Universal Ultrasound Foundation Model Generalized to Tasks and Organs towards Label Efficient Image Analysis
by: Jiao, Jing, et al.
Published: (2023)
by: Jiao, Jing, et al.
Published: (2023)
Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
by: Beaudet, Karl-Philippe, et al.
Published: (2024)
by: Beaudet, Karl-Philippe, et al.
Published: (2024)
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
by: Jiang, Yuncheng, et al.
Published: (2024)
by: Jiang, Yuncheng, et al.
Published: (2024)
USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
by: Gao, Jingyi, et al.
Published: (2025)
by: Gao, Jingyi, et al.
Published: (2025)
UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)
by: Ge, Rongjun, et al.
Published: (2026)
M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)
by: Jiang, Yufeng, et al.
Published: (2024)
Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)
by: Chakrabarty, Satrajit, et al.
Published: (2026)
Variable Rate Learned Wavelet Video Coding using Temporal Layer Adaptivity
by: Meyer, Anna, et al.
Published: (2024)
by: Meyer, Anna, et al.
Published: (2024)
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)
by: Timpano, Giuseppe, et al.
Published: (2026)
AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
by: Delaquintana-Aramendi, Uxue, et al.
Published: (2025)
by: Delaquintana-Aramendi, Uxue, et al.
Published: (2025)
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
by: Mykula, Hanna, et al.
Published: (2024)
by: Mykula, Hanna, et al.
Published: (2024)
Restoring Connectivity in Vascular Segmentation using a Learned Post-Processing Model
by: Carneiro-Esteves, Sophie, et al.
Published: (2024)
by: Carneiro-Esteves, Sophie, et al.
Published: (2024)
Reconstructing 3D Neural Hemodynamics using Sparse Ultrasound Localization Microscopy Data
by: Yan, Jipeng, et al.
Published: (2026)
by: Yan, Jipeng, et al.
Published: (2026)
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation
by: Sheng, Jiaxi, et al.
Published: (2025)
by: Sheng, Jiaxi, et al.
Published: (2025)
Maximum Likelihood based Phase-Retrieval using Fresnel Propagation Forward Models with Optional Constraints
by: Mohan, K. Aditya, et al.
Published: (2023)
by: Mohan, K. Aditya, et al.
Published: (2023)
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation
by: Schmidt, Christian, et al.
Published: (2025)
by: Schmidt, Christian, et al.
Published: (2025)
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)
by: Song, Changwei, et al.
Published: (2024)
Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
by: Peiris, Himashi, et al.
Published: (2025)
by: Peiris, Himashi, et al.
Published: (2025)
Training-Free Robot Pose Estimation using Off-the-Shelf Foundational Models
by: Liang, Laurence
Published: (2025)
by: Liang, Laurence
Published: (2025)
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
by: Lozenski, Luke, et al.
Published: (2025)
by: Lozenski, Luke, et al.
Published: (2025)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)
by: Tu, Zhengzheng, et al.
Published: (2024)
Exploring Autoregressive Vision Foundation Models for Image Compression
by: Phung, Huu-Tai, et al.
Published: (2025)
by: Phung, Huu-Tai, et al.
Published: (2025)
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements
by: Lei, Shuge
Published: (2024)
by: Lei, Shuge
Published: (2024)
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation
by: Shen, Yiqing, et al.
Published: (2024)
by: Shen, Yiqing, et al.
Published: (2024)
The Art of the Steal: Purloining Deep Learning Models Developed for an Ultrasound Scanner to a Competitor Machine
by: Soylu, Ufuk, et al.
Published: (2024)
by: Soylu, Ufuk, et al.
Published: (2024)
Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
by: Fatema, Kaniz, et al.
Published: (2025)
by: Fatema, Kaniz, et al.
Published: (2025)
Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African Populations
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, 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)
Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
by: Yu, Ruiguo, et al.
Published: (2024)
by: Yu, Ruiguo, et al.
Published: (2024)
Similar Items
-
CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching
by: Murali, Aditya, et al.
Published: (2024) -
Artificial Intelligence for the Assessment of Peritoneal Carcinosis during Diagnostic Laparoscopy for Advanced Ovarian Cancer
by: Oliva, Riccardo, et al.
Published: (2025) -
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
by: Huang, Ziyang, et al.
Published: (2026) -
Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026) -
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
by: Ma, Chen, et al.
Published: (2025)