Generative deep learning for foundational video translation in ultrasound
Fuente:
arXiv
Saved in:
| Main Authors: | Tomic, Nikolina, Bhatnagar, Roshni, Jain, Sarthak, Lau, Connor, Liu, Tien-Yu, Gambini, Laura, Arnaout, Rima |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Label-free segmentation from cardiac ultrasound using self-supervised learning
by: Ferreira, Danielle L., et al.
Published: (2022)
by: Ferreira, Danielle L., et al.
Published: (2022)
Are foundation models efficient for medical image segmentation?
by: Ferreira, Danielle, et al.
Published: (2023)
by: Ferreira, Danielle, et al.
Published: (2023)
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
by: Couch, Josiah, et al.
Published: (2024)
by: Couch, Josiah, et al.
Published: (2024)
Semantic segmentation of forest stands using deep learning
by: Sandum, Håkon Næss, et al.
Published: (2025)
by: Sandum, Håkon Næss, et al.
Published: (2025)
Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation
by: Sandum, Håkon Næss, et al.
Published: (2026)
by: Sandum, Håkon Næss, et al.
Published: (2026)
IMSAHLO: Integrating Multi-Scale Attention and Hybrid Loss Optimization Framework for Robust Neuronal Brain Cell Segmentation
by: Jain, Ujjwal, et al.
Published: (2026)
by: Jain, Ujjwal, et al.
Published: (2026)
AWDiff: An a trous wavelet diffusion model for lung ultrasound image synthesis
by: Heidari, Maryam, et al.
Published: (2026)
by: Heidari, Maryam, et al.
Published: (2026)
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
by: Mehrotra, Sarthak, et al.
Published: (2025)
by: Mehrotra, Sarthak, et al.
Published: (2025)
An interpretable framework using foundation models for fish sex identification
by: Miao, Zheng, et al.
Published: (2026)
by: Miao, Zheng, et al.
Published: (2026)
Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
by: Tang, Yunxin, et al.
Published: (2024)
by: Tang, Yunxin, et al.
Published: (2024)
How good are deep learning methods for automated road safety analysis using video data? An experimental study
by: Liu, Qingwu, et al.
Published: (2025)
by: Liu, Qingwu, et al.
Published: (2025)
A multi-center analysis of deep learning methods for video polyp detection and segmentation
by: Ghatwary, Noha, et al.
Published: (2026)
by: Ghatwary, Noha, et al.
Published: (2026)
A texture-based framework for foundational ultrasound models
by: Grutman, Tal, et al.
Published: (2026)
by: Grutman, Tal, et al.
Published: (2026)
Development and validation of an AI foundation model for endoscopic diagnosis of esophagogastric junction adenocarcinoma: a cohort and deep learning study
by: Ma, Yikun, et al.
Published: (2025)
by: Ma, Yikun, et al.
Published: (2025)
Ensemble learning of foundation models for precision oncology
by: Luo, Xiangde, et al.
Published: (2025)
by: Luo, Xiangde, et al.
Published: (2025)
Kinematic-Based Assessment of Surgical Actions in Microanastomosis
by: Meng, Yan, et al.
Published: (2025)
by: Meng, Yan, et al.
Published: (2025)
DUSTrack: Semi-automated point tracking in ultrasound videos
by: Namburi, Praneeth, et al.
Published: (2025)
by: Namburi, Praneeth, et al.
Published: (2025)
Investigation on deep learning-based galaxy image translation models
by: Ruan, Hengxin, et al.
Published: (2025)
by: Ruan, Hengxin, et al.
Published: (2025)
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
by: Girmaji, Rohit, et al.
Published: (2025)
by: Girmaji, Rohit, et al.
Published: (2025)
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection
by: Kamtam, Devanish N., et al.
Published: (2025)
by: Kamtam, Devanish N., et al.
Published: (2025)
A comprehensive overview of deep learning models for object detection from videos/images
by: Zulfqar, Sukana, et al.
Published: (2026)
by: Zulfqar, Sukana, et al.
Published: (2026)
AI-Driven Evaluation of Surgical Skill via Action Recognition
by: Meng, Yan, et al.
Published: (2025)
by: Meng, Yan, et al.
Published: (2025)
Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition
by: Sun, Jian, et al.
Published: (2026)
by: Sun, Jian, et al.
Published: (2026)
Learning to learn skill assessment for fetal ultrasound scanning
by: Wang, Yipei, et al.
Published: (2025)
by: Wang, Yipei, et al.
Published: (2025)
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
by: Yan, Su, et al.
Published: (2026)
by: Yan, Su, et al.
Published: (2026)
Scaling up self-supervised learning for improved surgical foundation models
by: Jaspers, Tim J. M., et al.
Published: (2025)
by: Jaspers, Tim J. M., et al.
Published: (2025)
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation
by: Sirotkin, Kirill, et al.
Published: (2024)
by: Sirotkin, Kirill, et al.
Published: (2024)
FecalFed: Privacy-Preserving Poultry Disease Detection via Federated Learning
by: Chi, Tien-Yu
Published: (2026)
by: Chi, Tien-Yu
Published: (2026)
General surgery vision transformer: A video pre-trained foundation model for general surgery
by: Schmidgall, Samuel, et al.
Published: (2024)
by: Schmidgall, Samuel, et al.
Published: (2024)
DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video
by: Barnard, Kevin, et al.
Published: (2025)
by: Barnard, Kevin, et al.
Published: (2025)
Deep video representation learning: a survey
by: Ravanbakhsh, Elham, et al.
Published: (2024)
by: Ravanbakhsh, Elham, et al.
Published: (2024)
Deep learning for action spotting in association football videos
by: Giancola, Silvio, et al.
Published: (2024)
by: Giancola, Silvio, et al.
Published: (2024)
Linking in Style: Understanding learned features in deep learning models
by: Wehrheim, Maren H., et al.
Published: (2024)
by: Wehrheim, Maren H., et al.
Published: (2024)
Do computer vision foundation models learn the low-level characteristics of the human visual system?
by: Cai, Yancheng, et al.
Published: (2025)
by: Cai, Yancheng, et al.
Published: (2025)
A review of advancements in low-light image enhancement using deep learning
by: Liu, Fangxue, et al.
Published: (2025)
by: Liu, Fangxue, et al.
Published: (2025)
Oriented object detection in optical remote sensing images using deep learning: a survey
by: Wang, Kun, et al.
Published: (2023)
by: Wang, Kun, et al.
Published: (2023)
Tracking spatial temporal details in ultrasound long video via wavelet analysis and memory bank
by: Zhang, Chenxiao, et al.
Published: (2025)
by: Zhang, Chenxiao, et al.
Published: (2025)
A deep learning perspective on Rubens' attribution
by: Afifi, A., et al.
Published: (2025)
by: Afifi, A., et al.
Published: (2025)
A comprehensive survey on deep active learning in medical image analysis
by: Wang, Haoran, et al.
Published: (2023)
by: Wang, Haoran, et al.
Published: (2023)
Knowledge driven Description Synthesis for Floor Plan Interpretation
by: Goyal, Shreya, et al.
Published: (2021)
by: Goyal, Shreya, et al.
Published: (2021)
Similar Items
-
Label-free segmentation from cardiac ultrasound using self-supervised learning
by: Ferreira, Danielle L., et al.
Published: (2022) -
Are foundation models efficient for medical image segmentation?
by: Ferreira, Danielle, et al.
Published: (2023) -
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
by: Couch, Josiah, et al.
Published: (2024) -
Semantic segmentation of forest stands using deep learning
by: Sandum, Håkon Næss, et al.
Published: (2025) -
Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation
by: Sandum, Håkon Næss, et al.
Published: (2026)