:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Junayed, Masum Shah, Van Vessem, John Derek, Wan, Qian, Nam, Gahie, Nabavi, Sheida
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2512.10808
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images
by: Li, Bingjun, et al.
Published: (2024)

In-Depth Analysis of Automated Acne Disease Recognition and Classification
by: Jeny, Afsana Ahsan, et al.
Published: (2025)

Efficient Self-Supervised Grading of Prostate Cancer Pathology
by: Bhattacharyya, Riddhasree, et al.
Published: (2025)

Adaptive Prototype-based Interpretable Grading of Prostate Cancer
by: Bhattacharyya, Riddhasree, et al.
Published: (2026)

Robust Training with Data Augmentation for Medical Imaging Classification
by: Martínez-Martínez, Josué, et al.
Published: (2025)

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)

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
by: Mohsen, Farida, et al.
Published: (2025)

FractMorph: A Fractional Fourier-Based Multi-Domain Transformer for Deformable Image Registration
by: Kebriti, Shayan, et al.
Published: (2025)

HadaSmileNet: Hadamard fusion of handcrafted and deep-learning features for enhancing facial emotion recognition of genuine smiles
by: Hasan, Mohammad Junayed, et al.
Published: (2025)

Exploring the Feasibility of Affordable Sonar Technology: Object Detection in Underwater Environments Using the Ping 360
by: Hasan, Md Junayed, et al.
Published: (2024)

Learning Inverse Laplacian Pyramid for Progressive Depth Completion
by: Wang, Kun, et al.
Published: (2025)

Shadow loss: Memory-linear deep metric learning for efficient training
by: Khan, Alif Elham, et al.
Published: (2023)

A Computer Vision Hybrid Approach: CNN and Transformer Models for Accurate Alzheimer's Detection from Brain MRI Scans
by: Hoque, Md Mahmudul, et al.
Published: (2026)

Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
by: Gustafsson, Fredrik K., et al.
Published: (2024)

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
by: Müller, Dominik, et al.
Published: (2024)

A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision
by: Rohan, Ali, et al.
Published: (2025)

Cell Graph Transformer for Nuclei Classification
by: Lou, Wei, et al.
Published: (2024)

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
by: Redekop, Ekaterina, et al.
Published: (2024)

Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation
by: Tang, Hao, et al.
Published: (2024)

Sampling-Aware Quantization for Diffusion Models
by: Zeng, Qian, et al.
Published: (2025)

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
by: Chen, Huangwei, et al.
Published: (2026)

EGTR: Extracting Graph from Transformer for Scene Graph Generation
by: Im, Jinbae, et al.
Published: (2024)

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
by: Blilie, Anders, et al.
Published: (2025)

PiT: Progressive Diffusion Transformer
by: Wu, Jiafu, et al.
Published: (2025)

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading
by: Ho, Man M., et al.
Published: (2024)

Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation
by: Hu, Alessia, et al.
Published: (2025)

Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging
by: Yi, Weixi, et al.
Published: (2026)

Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers
by: Sancéré, Lucas, et al.
Published: (2026)

Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction
by: Yan, Chi, et al.
Published: (2025)

Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

Signal Reconstruction from Samples at Unknown Locations with Application to 2D Unknown View Tomography
by: Shah, Sheel, et al.
Published: (2023)

Beyond Occlusion: In Search for Near Real-Time Explainability of CNN-Based Prostate Cancer Classification
by: Krebs, Martin, et al.
Published: (2025)

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection
by: Gilany, Mahdi, et al.
Published: (2024)

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
by: Müller, Dominik, et al.
Published: (2024)

ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025)

TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation
by: Nam, Ju-Hyeon, et al.
Published: (2025)

A Hybrid Vision Transformer Approach for Mathematical Expression Recognition
by: Le, Anh Duy, et al.
Published: (2026)

A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
by: Ji, Zhangjian, et al.
Published: (2025)

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
by: Li, Haoran, et al.
Published: (2026)

Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO
by: Badiezadeh, Ali, et al.
Published: (2024)