:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dou, Haoran, Virtanen, Seppo, Ravikumar, Nishant, Frangi, Alejandro F.
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2210.01607
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction
by: Maldonado-Garcia, Cynthia, et al.
Published: (2024)

Generative Adversarial Networks for Stain Normalisation in Histopathology
by: Breen, Jack, et al.
Published: (2023)

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
by: Gaggion, Nicolás, et al.
Published: (2023)

Predicting risk of cardiovascular disease using retinal OCT imaging
by: Maldonado-Garcia, Cynthia, et al.
Published: (2024)

Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
by: Frisch, Yannik, et al.
Published: (2023)

A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
by: Deng, Jinqiu, et al.
Published: (2024)

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
by: Mills, Oliver, et al.
Published: (2025)

Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
by: Ibrahim, Mihaela Croitor, et al.
Published: (2024)

Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping
by: Breen, Jack, et al.
Published: (2024)

Metrics that matter: Evaluating image quality metrics for medical image generation
by: Deo, Yash, et al.
Published: (2025)

A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
by: Breen, Jack, et al.
Published: (2024)

A Comparative Study of Filters and Deep Learning Models to predict Diabetic Retinopathy
by: Muddaluru, Roshan Vasu, et al.
Published: (2023)

FetusMap: Fetal Pose Estimation in 3D Ultrasound
by: Yang, Xin, et al.
Published: (2019)

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis
by: Zhao, An, et al.
Published: (2025)

Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion
by: Kumar, Nishant, et al.
Published: (2023)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
by: Fu, Yonggan, et al.
Published: (2020)

Image Classifier Based Generative Method for Planar Antenna Design
by: Zhong, Yang, et al.
Published: (2023)

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
by: Dou, Haoran, et al.
Published: (2019)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
by: Jiang, Yufeng, et al.
Published: (2024)

A Graphical Approach For Brain Haemorrhage Segmentation
by: Mehendale, Ninad, et al.
Published: (2022)

Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN
by: Shatri, Elona, et al.
Published: (2024)

CapsuleNet: A Deep Learning Model To Classify GI Diseases Using EfficientNet-b7
by: Das, Aniket, et al.
Published: (2024)

Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline
by: Oh, Ji-Hun, et al.
Published: (2024)

SVFR: A Unified Framework for Generalized Video Face Restoration
by: Wang, Zhiyao, et al.
Published: (2025)

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
by: Rangnekar, Aneesh, et al.
Published: (2024)

UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
by: Saurav, Jillur Rahman, et al.
Published: (2026)

Towards Population Scale Testis Volume Segmentation in DIXON MRI
by: Ernsting, Jan, et al.
Published: (2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
by: Huang, Tianyu, et al.
Published: (2024)

A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
by: Biller, Valentin, et al.
Published: (2025)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation
by: Jacob, Athira J, et al.
Published: (2024)

A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
by: Su, Tan, et al.
Published: (2026)

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation
by: Hardan, Osama, et al.
Published: (2025)

From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
by: Wu, Junyang, et al.
Published: (2024)

GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
by: Dai, Linrui, et al.
Published: (2024)

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
by: Zhang, Longling, et al.
Published: (2021)

Shape-Preserving Generation of Food Images for Automatic Dietary Assessment
by: Chen, Guangzong, et al.
Published: (2024)

Generative 3D Cardiac Shape Modelling for In-Silico Trials
by: Gasparovici, Andrei, et al.
Published: (2024)

Shape Deformation Networks for Automated Aortic Valve Finite Element Meshing from 3D CT Images
by: Qian, Linchen, et al.
Published: (2025)

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
by: Han, Luyi, et al.
Published: (2024)

Hierarchical Diffusion Framework for Pseudo-Healthy Brain MRI Inpainting with Enhanced 3D Consistency
by: Kwark, Dou Hoon, et al.
Published: (2025)