:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sharifi, Parastoo Sotoudeh, Ahmad, M. Omair, Swamy, M. N. S.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.15685
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Averaged Deep Denoisers for Image Regularization
by: Nair, Pravin, et al.
Published: (2022)

KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images
by: Lv, Jiaqi, et al.
Published: (2025)

Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
by: Paul, Sudipta, et al.
Published: (2025)

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping
by: Breen, Jack, et al.
Published: (2023)

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation
by: Shi, Bo, et al.
Published: (2026)

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
by: Luo, Yang, et al.
Published: (2025)

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
by: Krishna, Akhila, et al.
Published: (2024)

Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
by: Obeid, Ahmad, et al.
Published: (2024)

Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising
by: Xie, Jianxin, et al.
Published: (2024)

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

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)

Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation
by: Wu, Linshan, et al.
Published: (2024)

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
by: Abbasniya, Mohammad Reza, et al.
Published: (2022)

An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-based SAR ATR
by: Wang, Chenwei, et al.
Published: (2025)

Underdetermined Blind Source Separation via Weighted Simplex Shrinkage Regularization and Quantum Deep Image Prior
by: Lin, Chia-Hsiang, et al.
Published: (2026)

Improving Deep Learning for Accelerated MRI With Data Filtering
by: Lin, Kang, et al.
Published: (2025)

Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction
by: Sultan, Muhammad A., et al.
Published: (2023)

General and Domain-Specific Zero-shot Detection of Generated Images via Conditional Likelihood
by: Betser, Roy, et al.
Published: (2025)

Pediatric Appendicitis Detection from Ultrasound Images
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
by: Nabavi, Shahabedin, et al.
Published: (2024)

Benchmarking Deep Learning Methods for Irradiance Estimation from Sky Images with Applications to Video Prediction-Based Irradiance Nowcasting
by: Varaschin, Lorenzo F. C., et al.
Published: (2025)

The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
by: Tushar, Fakrul Islam, et al.
Published: (2023)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment
by: Nabavi, Shahabedin, et al.
Published: (2024)

OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater Imaging
by: Makam, Rajini, et al.
Published: (2024)

Efficient Classification of Histopathology Images
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)

Could We Generate Cytology Images from Histopathology Images? An Empirical Study
by: Dey, Soumyajyoti, et al.
Published: (2024)

Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions
by: Prazeres, Joao, et al.
Published: (2024)

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
by: Borji, Arezoo, et al.
Published: (2024)

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

A Spectrum-based Image Denoising Method with Edge Feature Enhancement
by: Luvton, Peter, et al.
Published: (2024)

AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
by: Dippel, Jonas, et al.
Published: (2024)

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
by: Wang, Xiawei, et al.
Published: (2024)

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

Deep Learning for Super-resolution Ultrasound Imaging with Spatiotemporal Data
by: Redfern, Arthur David, et al.
Published: (2024)

Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
by: Li, Meng, et al.
Published: (2022)

SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement
by: Zhang, Yuhao, et al.
Published: (2025)

An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
by: Unal, Mehmet Ozan, et al.
Published: (2020)

A Dynamically Weighted Loss Function for Unsupervised Image Segmentation
by: Guermazi, Boujemaa, et al.
Published: (2024)