:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pokharel, Atit, Dahal, Shashank, Sapkota, Pratik, Chhetri, Bhupendra Bimal
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Image and Video Processing
Online Access:	https://arxiv.org/abs/2412.05583
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
by: Ding, Zhengyao, et al.
Published: (2024)

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
by: Selivanov, Alexander, et al.
Published: (2025)

3D Reconstruction of Shoes for Augmented Reality
by: Shrestha, Pratik, et al.
Published: (2025)

Hear the Heartbeat in Phases: Physiologically Grounded Phase-Aware ECG Biometrics
by: Huang, Jintao, et al.
Published: (2026)

IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
by: Tsai, Ting Yu, et al.
Published: (2025)

ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis
by: Reyna, Matthew A., et al.
Published: (2024)

Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
by: Capitão, Nuno, et al.
Published: (2025)

An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images
by: Khare, Smith K., et al.
Published: (2024)

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
by: Bhattacharya, Anish, et al.
Published: (2024)

A Two-Stage Strategy for Mitosis Detection Using Improved YOLO11x Proposals and ConvNeXt Classification
by: Xiao, Jie, et al.
Published: (2025)

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
by: Aftab, Muhammad, et al.
Published: (2025)

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
by: Megahed, Youssef, et al.
Published: (2026)

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
by: Benjamin, Joseph Geo, et al.
Published: (2024)

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
by: Li, Ruochen, et al.
Published: (2024)

Exploring Wavelet Transformations for Deep Learning-based Machine Condition Diagnosis
by: Piedad, Eduardo Jr, et al.
Published: (2024)

HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology
by: Jiang, Xiajun, et al.
Published: (2024)

Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging
by: Xu, Siying, et al.
Published: (2024)

Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
by: Schwehr, Zachary, et al.
Published: (2023)

WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion
by: Shukla, Vinay, et al.
Published: (2025)

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

Pigment Network Detection and Classification in Dermoscopic Images Using Directional Imaging Algorithms and Convolutional Neural Networks
by: Rasel, M. A., et al.
Published: (2026)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
by: Huang, Wenqi, et al.
Published: (2024)

The Role of Machine Learning in Congenital Heart Disease Diagnosis: Datasets, Algorithms, and Insights
by: Khan, Khalil, et al.
Published: (2025)

Leveraging Machine Learning for Early Detection of Lung Diseases
by: Rahmani, Bahareh, et al.
Published: (2025)

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

Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification
by: Abumohsen, Mobarak, et al.
Published: (2025)

Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)

Multispectral to Hyperspectral using Pretrained Foundational model
by: Gonzalez, Ruben, et al.
Published: (2025)

MIDOG 2025: Mitotic Figure Detection with Attention-Guided False Positive Correction
by: Broad, Andrew, et al.
Published: (2025)

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
by: Habchi, Yassine, et al.
Published: (2024)

Photometric Stereo using Gaussian Splatting and inverse rendering
by: Ducastel, Matéo, et al.
Published: (2025)

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer
by: Zhang, Jing, et al.
Published: (2025)

Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
by: Nouman, Muhammad, et al.
Published: (2024)

Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
by: Paul, Plabon, et al.
Published: (2024)

From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion
by: Oladokun, Emmanuel, et al.
Published: (2025)

A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks
by: Sebastianelli, Alessandro, et al.
Published: (2021)

Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction
by: Vo, Jamie, et al.
Published: (2023)

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
by: Dhimish, Mahmoud
Published: (2025)

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
by: Gabriel, Roy M., et al.
Published: (2025)