Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Meng, Jamzad, Amoon, Izard, Jason, Menard, Alexandre, Siemens, Robert, Mousavi, Parvin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
by: Harmanani, Mohamed, et al.
Published: (2024)
by: Harmanani, Mohamed, et al.
Published: (2024)
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
by: Harmanani, Mohamed, et al.
Published: (2025)
by: Harmanani, Mohamed, et al.
Published: (2025)
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection
by: Wilson, Paul F. R., et al.
Published: (2025)
by: Wilson, Paul F. R., et al.
Published: (2025)
Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops
by: Harmanani, Mohamed, et al.
Published: (2025)
by: Harmanani, Mohamed, et al.
Published: (2025)
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
by: Salmanpour, Mohammad R., et al.
Published: (2024)
by: Salmanpour, Mohammad R., et al.
Published: (2024)
Uncertainty-Aware Regularization for Image-to-Image Translation
by: Vats, Anuja, et al.
Published: (2024)
by: Vats, Anuja, et al.
Published: (2024)
DD_RoTIR: Dual-Domain Image Registration via Image Translation and Hierarchical Feature-matching
by: Wang, Ruixiong, et al.
Published: (2024)
by: Wang, Ruixiong, et al.
Published: (2024)
MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
by: Aalishah, Romina, et al.
Published: (2025)
by: Aalishah, Romina, et al.
Published: (2025)
An Analysis for Image-to-Image Translation and Style Transfer
by: Yu, Xiaoming, et al.
Published: (2024)
by: Yu, Xiaoming, et al.
Published: (2024)
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Image-to-Image Translation with Generative Adversarial Network for Electrical Resistance Tomography Reconstruction
by: Yan, Wejian
Published: (2025)
by: Yan, Wejian
Published: (2025)
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
by: Hung, Alex Ling Yu, et al.
Published: (2024)
by: Hung, Alex Ling Yu, et al.
Published: (2024)
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
by: Nabavi, Shahabedin, et al.
Published: (2024)
by: Nabavi, Shahabedin, et al.
Published: (2024)
Structure Aware Image Downscaling
by: Arjun, G B Kevin, et al.
Published: (2025)
by: Arjun, G B Kevin, et al.
Published: (2025)
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
Computational Imaging Through Atmospheric Turbulence
by: Chimitt, Nicholas, et al.
Published: (2024)
by: Chimitt, Nicholas, et al.
Published: (2024)
Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal Images
by: Berger, Lucie, et al.
Published: (2025)
by: Berger, Lucie, et al.
Published: (2025)
On Uncertainty Prediction for Deep-Learning-based Particle Image Velocimetry
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
Histogramless Time-Domain Sketched Fluorescence Lifetime Imaging
by: Zang, Zhenya, et al.
Published: (2026)
by: Zang, Zhenya, et al.
Published: (2026)
Accelerated Image-Aware Generative Diffusion Modeling
by: Asthana, Tanmay, et al.
Published: (2024)
by: Asthana, Tanmay, et al.
Published: (2024)
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)
by: Tsai, Ting Yu, et al.
Published: (2024)
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)
by: Malekmohammadi, Amin, et al.
Published: (2024)
Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
by: Paul, Sudipta, et al.
Published: (2025)
by: Paul, Sudipta, et al.
Published: (2025)
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation
by: Wei, Xiaochen, et al.
Published: (2025)
by: Wei, Xiaochen, et al.
Published: (2025)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
by: Moradi, Ashkan, et al.
Published: (2025)
by: Moradi, Ashkan, et al.
Published: (2025)
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation
by: Wu, Linshan, et al.
Published: (2024)
by: Wu, Linshan, et al.
Published: (2024)
Domain Adaptation for Camera-Specific Image Characteristics using Shallow Discriminators
by: Gruber, Maximiliane, et al.
Published: (2025)
by: Gruber, Maximiliane, et al.
Published: (2025)
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
by: Gao, Feng, et al.
Published: (2024)
by: Gao, Feng, et al.
Published: (2024)
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
by: Zhao, Yaping, et al.
Published: (2023)
by: Zhao, Yaping, et al.
Published: (2023)
Neuromorphic Imaging with Joint Image Deblurring and Event Denoising
by: Zhang, Pei, et al.
Published: (2023)
by: Zhang, Pei, et al.
Published: (2023)
MRNet: Multifaceted Resilient Networks for Medical Image-to-Image Translation
by: Lee, Hyojeong, et al.
Published: (2024)
by: Lee, Hyojeong, et al.
Published: (2024)
Compensation based Dictionary Transfer for Similar Multispectral Image Spectral Super-resolution
by: Han, Xiaolin, et al.
Published: (2025)
by: Han, Xiaolin, et al.
Published: (2025)
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by: Cicimen, Alp G., et al.
Published: (2024)
by: Cicimen, Alp G., et al.
Published: (2024)
Towards Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization
by: Naganuma, Kazuki, et al.
Published: (2023)
by: Naganuma, Kazuki, et al.
Published: (2023)
Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images
by: Xing, Qunliang, et al.
Published: (2025)
by: Xing, Qunliang, et al.
Published: (2025)
Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Feng, Zetian, et al.
Published: (2025)
by: Feng, Zetian, et al.
Published: (2025)
MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models
by: Ma, Xudong, et al.
Published: (2025)
by: Ma, Xudong, et al.
Published: (2025)
Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
by: Rippa, Malte, et al.
Published: (2024)
by: Rippa, Malte, et al.
Published: (2024)
PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation
by: Magoulianitis, Vasileios, et al.
Published: (2024)
by: Magoulianitis, Vasileios, et al.
Published: (2024)
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains
by: Nabavi, Shahabedin, et al.
Published: (2021)
by: Nabavi, Shahabedin, et al.
Published: (2021)
Similar Items
-
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
by: Harmanani, Mohamed, et al.
Published: (2024) -
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
by: Harmanani, Mohamed, et al.
Published: (2025) -
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection
by: Wilson, Paul F. R., et al.
Published: (2025) -
Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops
by: Harmanani, Mohamed, et al.
Published: (2025) -
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
by: Salmanpour, Mohammad R., et al.
Published: (2024)