Cover Image

Cross‐shaped windows transformer with self‐supervised pretraining for clinically significant prostate cancer detection in bi‐parametric MRI

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Yuheng Li, Jacob Wynne, Jing Wang, Richard L. J. Qiu, Justin Roper, Shaoyan Pan, Ashesh B. Jani, Tian Liu, Pretesh R. Patel, Hui Mao, Xiaofeng Yang
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Medical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
by: Li, Yuheng, et al.
Published: (2023)

Evaluation of a prostate SBRT planning workflow using auto‐segmentation and knowledge‐based planning
by: Trisha Jones, et al.
Published: (2025)

MRI‐based prostate cancer classification using 3D efficient capsule network
by: Yuheng Li, et al.
Published: (2024)

Diffeomorphic transformer‐based abdomen MRI‐CT deformable image registration
by: Yang Lei, et al.
Published: (2024)

Asymmetry in neurovascular bundle blood flow in prostate cancer patients: A pre‐treatment doppler ultrasound study
by: Jing Wang, et al.
Published: (2025)

Assessing Bilateral Neurovascular Bundles Function with Pulsed Wave Doppler Ultrasound: Implications for Reducing Erectile Dysfunction Following Prostate Radiotherapy
by: Wang, Jing, et al.
Published: (2024)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
by: Lei, Yang, et al.
Published: (2024)

Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
by: Wang, Yanchen, et al.
Published: (2025)

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images
by: Pocius, Martynas, et al.
Published: (2024)

Utility of dynamic contrast enhancement for clinically significant prostate cancer detection
by: Eric V. Li, et al.
Published: (2024)

Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
by: Otaghsara, Seyedeh Sahar Taheri, et al.
Published: (2025)

Self‐supervised adversarial diffusion models for fast MRI reconstruction
by: Mojtaba Safari, et al.
Published: (2025)

Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
by: Safari, Mojtaba, et al.
Published: (2025)

Stereotactic arrhythmia radioablation for refractory ventricular tachycardia: A narrative review and pooled analysis of clinical outcomes and treatment delivery approaches
by: Keyur D. Shah, et al.
Published: (2026)

Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model
by: Pan, Shaoyan, et al.
Published: (2023)

Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model
by: Shaoyan Pan, et al.
Published: (2024)

A Digital Twin Framework for Adaptive Treatment Planning in Radiotherapy
by: Chang, Chih-Wei, et al.
Published: (2025)

Utilization, health care expenditures, and patient costs of definitive treatment modalities for localized prostate cancer in the United States
by: Nikhil T. Sebastian, et al.
Published: (2025)

Self-supervised pretraining for an iterative image size agnostic vision transformer
by: Prisadnikov, Nedyalko, et al.
Published: (2026)

MRI performance to identify clinically significant prostate cancer following focal cryo‐ablation
by: Herbert Lepor, et al.
Published: (2025)

Comment on ‘Clinically significant prostate cancer detected by systematic biopsy in patients with MRI lesions’
by: Keerthi Sanapala, et al.
Published: (2025)

The role of self-supervised pretraining in differentially private medical image analysis
by: Arasteh, Soroosh Tayebi, et al.
Published: (2026)

Stereotactic Arrhythmia Radioablation for Refractory Ventricular Tachycardia: A Narrative Review and Exploratory Pooled Analysis of Clinical Outcomes and Toxicity
by: Shah, Keyur D., et al.
Published: (2025)

AI‐enhanced micro‐ultrasound improves detection of clinically significant prostate cancer at biopsy
by: Muhammad Imran, et al.
Published: (2026)

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs
by: Piccoli, Francesco, et al.
Published: (2025)

Intuitive physics understanding emerges from self-supervised pretraining on natural videos
by: Garrido, Quentin, et al.
Published: (2025)

Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
by: Elahheh Salari, et al.
Published: (2024)

Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times
by: Karoline Kallis, et al.
Published: (2024)

A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
by: Brüsch, Thea, et al.
Published: (2024)

Magnetic resonance image denoising for Rician noise using a novel hybrid transformer‐CNN network (HTC‐net) and self‐supervised pretraining
by: Shengjie Shi, et al.
Published: (2024)

Bimodal imaging: Detection rate of clinically significant prostate cancer is higher in MRI lesions visible to transrectal ultrasound
by: Fabian Falkenbach, et al.
Published: (2024)

CardioPHON: Quality assessment and self-supervised pretraining for screening of cardiac function based on phonocardiogram recordings
by: Despotovic, Vladimir, et al.
Published: (2025)

Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
by: Gubian, Michele, et al.
Published: (2025)

A Comparative Dosimetric Study of Proton and Photon Therapy in Stereotactic Arrhythmia Radioablation for Ventricular Tachycardia
by: Shah, Keyur D., et al.
Published: (2025)

Using Modularized Pin Ridge Filter in Proton FLASH Planning for Liver Stereotactic Ablative Body Radiotherapy
by: Ma, Chaoqiong, et al.
Published: (2024)

Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
by: Gao, Yuan, et al.
Published: (2025)

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
by: Li, Yuheng, et al.
Published: (2024)

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
by: Trombetta, Robin, et al.
Published: (2024)

Self‐supervised multicontrast super‐resolution for diffusion‐weighted prostate MRI
by: Batuhan Gundogdu, et al.
Published: (2024)

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
by: Safari, Mojtaba, et al.
Published: (2024)