Cover Image

MeD-3D: A Multimodal Deep Learning Framework for Precise Recurrence Prediction in Clear Cell Renal Cell Carcinoma (ccRCC)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maqsood, Hasaan, Khan, Saif Ur Rehman
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
by: Mota, Tiago, et al.
Published: (2024)

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
by: Khan, Muhammad Ahmed, et al.
Published: (2026)

Using Deep Learning to Predict Neural Stem Cell Differentiation in Regenerative Medicine
by: Parthasarathy, Nidhi, et al.
Published: (2023)

Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images
by: Javadian, Fatemeh, et al.
Published: (2025)

Decoding MGMT Methylation: A Step Towards Precision Medicine in Glioblastoma
by: Rehman, Hafeez Ur, et al.
Published: (2025)

Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI
by: Usman, Muhammad, et al.
Published: (2025)

4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features
by: Li, Zesheng, et al.
Published: (2025)

Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
by: Rehmat, Sara, et al.
Published: (2025)

Dual Deep Learning Approach for Non-invasive Renal Tumour Subtyping with VERDICT-MRI
by: Sen, Snigdha, et al.
Published: (2025)

Radiomics and Clinical Features in Predictive Modelling of Brain Metastases Recurrence
by: Faria, Ines, et al.
Published: (2025)

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
by: Toma, Tanjin Taher, et al.
Published: (2024)

Feature Compression for Cloud-Edge Multimodal 3D Object Detection
by: Tian, Chongzhen, et al.
Published: (2024)

Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
by: Islam, Samiha, et al.
Published: (2024)

Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
by: de Gélis, Iris, et al.
Published: (2023)

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
by: Su, Ziyu, et al.
Published: (2024)

Inline AI: Open-source Deep Learning Inference for Cardiac MR
by: Xue, Hui, et al.
Published: (2024)

On Uncertainty Prediction for Deep-Learning-based Particle Image Velocimetry
by: Wang, Wei, et al.
Published: (2025)

DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography
by: Xue, Zhihao, et al.
Published: (2024)

All-in-One Deep Learning Framework for MR Image Reconstruction
by: Jeong, Geunu, et al.
Published: (2024)

A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
by: Yang, Tianqi, et al.
Published: (2024)

Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS
by: Jun, Yohan, et al.
Published: (2023)

Learning from Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC
by: Yu, Hsin-Pei, et al.
Published: (2025)

Deep Learning Based Solar Cell Recognition for Optical Wireless Power Transfer
by: Huang, Sida, et al.
Published: (2024)

Resource Dimensioning for Single-Cell Edge Video Analytics
by: Peris, Jaume Anguera, et al.
Published: (2023)

VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
by: Wu, Linshan, et al.
Published: (2024)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

Preserving Vertical Structure in 3D-to-2D Projection for Permafrost Thaw Mapping
by: McMillen, Justin, et al.
Published: (2026)

Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
by: Martínez-Ibarra, Antonio, et al.
Published: (2025)

A Hybrid Physical--Digital Framework for Annotated Fracture Reduction Data Evaluated using Clinically Relevant 3D metrics
by: Longo, Basile, et al.
Published: (2026)

Deep Learning-Based Prediction of PET Amyloid Status Using Multi-Contrast MRI
by: Kim, Donghoon, et al.
Published: (2024)

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography
by: He, Haolin, et al.
Published: (2025)

Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
by: Janardhan, Kiranmayee, et al.
Published: (2025)

Comparative Analysis of 2D and 3D ResNet Architectures for IDH and MGMT Mutation Detection in Glioma Patients
by: Elyassirad, Danial, et al.
Published: (2024)

KDPhys: An Attention Guided 3D to 2D Knowledge Distillation for Real-time Video-Based Physiological Measurement
by: Sahoo, Nicky Nirlipta, et al.
Published: (2026)

SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
by: Dam, Tanmoy, et al.
Published: (2025)

ImplicitCell: Resolution Cell Modeling of Joint Implicit Volume Reconstruction and Pose Refinement in Freehand 3D Ultrasound
by: Song, Sheng, et al.
Published: (2025)

Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
by: Wang, Chenwei, et al.
Published: (2026)

Introducing Learning Rate Adaptation CMA-ES into Rigid 2D/3D Registration for Robotic Navigation in Spine Surgery
by: Zhang, Zhirun, et al.
Published: (2024)

DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model
by: Hu, Yuyang, et al.
Published: (2023)

Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging
by: Dong, Yubo, et al.
Published: (2023)