Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
Fuente:
arXiv
Guardado en:
| Autores principales: | Monfared, Vahid, Gharib, Mohammad Hadi, Sabri, Ali, Shahali, Maryam, Rashidi, Farid, Mehta, Amit, Rawassizadeh, Reza |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis
por: Kujur, Anima, et al.
Publicado: (2026)
por: Kujur, Anima, et al.
Publicado: (2026)
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
por: Jahanandish, Hassan, et al.
Publicado: (2025)
por: Jahanandish, Hassan, et al.
Publicado: (2025)
Adaptive Prototype-based Interpretable Grading of Prostate Cancer
por: Bhattacharyya, Riddhasree, et al.
Publicado: (2026)
por: Bhattacharyya, Riddhasree, et al.
Publicado: (2026)
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024)
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024)
Mitigating 3D Prostate Biparametric MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
por: Grabke, Emerson P., et al.
Publicado: (2025)
por: Grabke, Emerson P., et al.
Publicado: (2025)
Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders
por: Keel, Benjamin, et al.
Publicado: (2025)
por: Keel, Benjamin, et al.
Publicado: (2025)
NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training
por: Sharma, Tanvi, et al.
Publicado: (2026)
por: Sharma, Tanvi, et al.
Publicado: (2026)
Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning
por: Naderi, Mozhgan, et al.
Publicado: (2024)
por: Naderi, Mozhgan, et al.
Publicado: (2024)
Prompt Sensitivity in Vision-Language Grounding: How Small Changes in Wording Affect Object Detection
por: Deka, Dawar Jyoti, et al.
Publicado: (2026)
por: Deka, Dawar Jyoti, et al.
Publicado: (2026)
A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
por: Ortiz, Mateo, et al.
Publicado: (2025)
por: Ortiz, Mateo, et al.
Publicado: (2025)
ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
por: Mustafa, Ahmad, et al.
Publicado: (2025)
por: Mustafa, Ahmad, et al.
Publicado: (2025)
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
por: Nketiah, G. A., et al.
Publicado: (2024)
por: Nketiah, G. A., et al.
Publicado: (2024)
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
por: Harmanani, Mohamed, et al.
Publicado: (2024)
por: Harmanani, Mohamed, et al.
Publicado: (2024)
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
por: Vemulapalli, Raviteja, et al.
Publicado: (2023)
por: Vemulapalli, Raviteja, et al.
Publicado: (2023)
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
por: Hering, Alessa, et al.
Publicado: (2024)
por: Hering, Alessa, et al.
Publicado: (2024)
Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks
por: Hamdan, Emadeldeen, et al.
Publicado: (2026)
por: Hamdan, Emadeldeen, et al.
Publicado: (2026)
Detecting Cadastral Boundary from Satellite Images Using U-Net model
por: Anaraki, Neda Rahimpour, et al.
Publicado: (2025)
por: Anaraki, Neda Rahimpour, et al.
Publicado: (2025)
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
por: Magoulianitis, Vasileios, et al.
Publicado: (2025)
por: Magoulianitis, Vasileios, et al.
Publicado: (2025)
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI
por: Yuan, Yuan, et al.
Publicado: (2022)
por: Yuan, Yuan, et al.
Publicado: (2022)
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
por: Li, Yuheng, et al.
Publicado: (2023)
por: Li, Yuheng, et al.
Publicado: (2023)
Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
por: Narayanan, Aravind, et al.
Publicado: (2025)
por: Narayanan, Aravind, et al.
Publicado: (2025)
Faster Algorithm for Bounded Tree Edit Distance in the Low-Distance Regime
por: Kociumaka, Tomasz, et al.
Publicado: (2025)
por: Kociumaka, Tomasz, et al.
Publicado: (2025)
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
por: Muftah, Asmail, et al.
Publicado: (2024)
por: Muftah, Asmail, et al.
Publicado: (2024)
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
A Lightweight Ensemble-Based Face Image Quality Assessment Method with Correlation-Aware Loss
por: Hamidi, MohammadAli, et al.
Publicado: (2025)
por: Hamidi, MohammadAli, et al.
Publicado: (2025)
Interpretable Few-shot Learning with Online Attribute Selection
por: Zarei, Mohammad Reza, et al.
Publicado: (2022)
por: Zarei, Mohammad Reza, et al.
Publicado: (2022)
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
por: Prasad, Renjith, et al.
Publicado: (2024)
por: Prasad, Renjith, et al.
Publicado: (2024)
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection
por: Wilson, Paul F. R., et al.
Publicado: (2025)
por: Wilson, Paul F. R., et al.
Publicado: (2025)
Value of Systematic and MRI‐Ultrasound Fusion Prostate Biopsy in Different Prostate Specific Antigen (PSA) Levels
por: Solmaz Ohadian Moghadam, et al.
Publicado: (2025)
por: Solmaz Ohadian Moghadam, et al.
Publicado: (2025)
Saliency Map-based Image Retrieval using Invariant Krawtchouk Moments
por: Nejad, Ashkan, et al.
Publicado: (2024)
por: Nejad, Ashkan, et al.
Publicado: (2024)
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study
por: Abbadi, Mohammad, et al.
Publicado: (2025)
por: Abbadi, Mohammad, et al.
Publicado: (2025)
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
por: Mohamadi, Helia, et al.
Publicado: (2024)
por: Mohamadi, Helia, et al.
Publicado: (2024)
A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification
por: Olmos, Juan A., et al.
Publicado: (2026)
por: Olmos, Juan A., et al.
Publicado: (2026)
Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort
por: Ali, Peshawa J. Muhammad, et al.
Publicado: (2025)
por: Ali, Peshawa J. Muhammad, et al.
Publicado: (2025)
Interpretable EEG-to-Image Generation with Semantic Prompts
por: Rezvani, Arshak, et al.
Publicado: (2025)
por: Rezvani, Arshak, et al.
Publicado: (2025)
PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI
por: Abdulbaqi, Hayder Saad, et al.
Publicado: (2026)
por: Abdulbaqi, Hayder Saad, et al.
Publicado: (2026)
Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Organized Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)
por: Saha, Anindo, et al.
Publicado: (2025)
por: Saha, Anindo, et al.
Publicado: (2025)
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
por: De Santi, Lisa Anita, et al.
Publicado: (2024)
por: De Santi, Lisa Anita, et al.
Publicado: (2024)
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
por: Sang, Shengtian, et al.
Publicado: (2025)
por: Sang, Shengtian, et al.
Publicado: (2025)
T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image Evaluation
por: Hosseini, Seyed Mohammad Hadi, et al.
Publicado: (2025)
por: Hosseini, Seyed Mohammad Hadi, et al.
Publicado: (2025)
Ejemplares similares
-
Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis
por: Kujur, Anima, et al.
Publicado: (2026) -
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
por: Jahanandish, Hassan, et al.
Publicado: (2025) -
Adaptive Prototype-based Interpretable Grading of Prostate Cancer
por: Bhattacharyya, Riddhasree, et al.
Publicado: (2026) -
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024) -
Mitigating 3D Prostate Biparametric MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
por: Grabke, Emerson P., et al.
Publicado: (2025)