Image de couverture de livre

CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tschuchnig, Maximilian E., Steininger, Philipp, Gadermayr, Michael
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
par: Tschuchnig, Maximilian E., et autres
Publié: (2024)

Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
par: Tschuchnig, Maximilian, et autres
Publié: (2025)

Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
par: Tschuchnig, Maximilian E., et autres
Publié: (2024)

Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
par: Tschuchnig, Maximilian, et autres
Publié: (2025)

Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
par: Tschuchnig, Maximilian Ernst, et autres
Publié: (2023)

Anomaly Detection in Medical Imaging -- A Mini Review
par: Tschuchnig, Maximilian E., et autres
Publié: (2021)

Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
par: Tschuchnig, Maximilian, et autres
Publié: (2025)

Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model
par: Löwenstein, Katja, et autres
Publié: (2024)

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles
par: Yang, Xingchao, et autres
Publié: (2025)

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
par: Tschuchnig, Maximilian E., et autres
Publié: (2022)

Scaling nnU-Net for CBCT Segmentation
par: Isensee, Fabian, et autres
Publié: (2024)

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
par: Hadzic, Arnela, et autres
Publié: (2025)

TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
par: Steininger, Daniel, et autres
Publié: (2025)

PanTS: The Pancreatic Tumor Segmentation Dataset
par: Li, Wenxuan, et autres
Publié: (2025)

Eliminating Registration Bias in Synthetic CT Generation: A Physics-Based Simulation Framework
par: Zimmermann, Lukas, et autres
Publié: (2026)

RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation
par: Zhou, Xianhao, et autres
Publié: (2026)

Synthetic CT image generation from CBCT: A Systematic Review
par: Altalib, Alzahra, et autres
Publié: (2025)

LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
par: Cao, Yuxin, et autres
Publié: (2024)

ReLeaf: Benchmarking Leaf Segmentation across Domains and Species
par: Martinko, Robert, et autres
Publié: (2026)

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset
par: Deng, Yuhai, et autres
Publié: (2026)

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
par: Feng, Xiang, et autres
Publié: (2023)

SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition
par: Nacar, Omer, et autres
Publié: (2025)

A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
par: Yao, Dingyi, et autres
Publié: (2025)

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
par: Yilmaz, Rüveyda, et autres
Publié: (2025)

SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets
par: Croonen, Gerardus, et autres
Publié: (2025)

Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
par: Hamscher, Ben, et autres
Publié: (2025)

Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation
par: Chiesa, Giorgio, et autres
Publié: (2026)

PickStyle: Video-to-Video Style Transfer with Context-Style Adapters
par: Mehraban, Soroush, et autres
Publié: (2025)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
par: de Verdier, Maria Correia, et autres
Publié: (2024)

DINOv3-Guided Cross Fusion Framework for Semantic-aware CT generation from MRI and CBCT
par: Zhou, Xianhao, et autres
Publié: (2025)

RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
par: Zhao, Chuyu, et autres
Publié: (2025)

SCAdapter: Content-Style Disentanglement for Diffusion Style Transfer
par: Trinh, Luan Thanh, et autres
Publié: (2025)

Pluggable Style Representation Learning for Multi-Style Transfer
par: Liu, Hongda, et autres
Publié: (2025)

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests
par: Deoli, Pankaj, et autres
Publié: (2026)

StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements
par: Lei, Mingkun, et autres
Publié: (2024)

GANeXt: A Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
par: Mei, Siyuan, et autres
Publié: (2025)

StyleYourSmile: Cross-Domain Face Retargeting Without Paired Multi-Style Data
par: Dey, Avirup, et autres
Publié: (2025)

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
par: Rokuss, Maximilian, et autres
Publié: (2025)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
par: Yu, Yang, et autres
Publié: (2024)

TeleStyle: Content-Preserving Style Transfer in Images and Videos
par: Zhang, Shiwen, et autres
Publié: (2026)