research papers

Albumentations in Medical imaging research

Used in 399 research papers

Clinical and biomedical imaging used for diagnosis, treatment, anatomical analysis, and digital pathology.

MRI scan displayed on a radiology monitor — Photo: MART PRODUCTION on Pexels

Public examples

Most-cited research papers

Showing the top 100

#1
A review of medical image data augmentation techniques for deep learning applications
2021
984 citations
#2
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
2021
624 citations
#3
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
2020
548 citations
#4
End-to-end privacy preserving deep learning on multi-institutional medical imaging
2021
518 citations
#5
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
2023
493 citations
#6
Data augmentation for medical imaging: A systematic literature review
2022
413 citations
#7
A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
2022
338 citations
#8
CellViT: Vision Transformers for precise cell segmentation and classification
2024
331 citations
#9
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends
2022
297 citations
#10
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
2021
215 citations
#11
A survey on deep learning for skin lesion segmentation
2023
194 citations
#12
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
2022
178 citations
#13
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
2021
143 citations
#14
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images
2021
142 citations
#15
TIAToolbox as an end-to-end library for advanced tissue image analytics
2022
131 citations
#16
An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks
2022
129 citations
#17
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification
2021
129 citations
#18
SinGAN-Seg: Synthetic training data generation for medical image segmentation
2022
127 citations
#19
Multi-Label Retinal Disease Classification Using Transformers
2022
120 citations
#20
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
2024
101 citations
#21
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
2021
94 citations
#22
Robust deep learning-based semantic organ segmentation in hyperspectral images
2022
92 citations
#23
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment
2021
83 citations
#24
Prior Attention Network for Multi-Lesion Segmentation in Medical Images
2022
75 citations
#25
Overcoming data scarcity in biomedical imaging with a foundational multi-task model
2024
73 citations
#26
MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network
2023
69 citations
#27
Training on Polar Image Transformations Improves Biomedical Image Segmentation
2021
69 citations
#28
Vision Transformer based COVID-19 Detection using Chest X-rays
2021
67 citations
#29
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification
2021
64 citations
#30
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
2022
63 citations
#31
High-resolution photoacoustic microscopy with deep penetration through learning
2021
62 citations
#32
Deep Learning Predicts HPV Association in Oropharyngeal Squamous Cell Carcinomas and Identifies Patients with a Favorable Prognosis Using Regular H&E Stains
2020
58 citations
#33
Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI
2022
57 citations
#34
Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer
2022
56 citations
#35
DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation
2023
50 citations
#36
MANet: a multi-attention network for automatic liver tumor segmentation in computed tomography (CT) imaging
2023
45 citations
#37
Multi-level dilated residual network for biomedical image segmentation
2021
45 citations
#38
A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods
2025
43 citations
#39
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
2020
43 citations
#40
Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture
2023
40 citations
#41
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images
2020
40 citations
#42
A self-supervised contrastive learning approach for whole slide image representation in digital pathology
2022
39 citations
#43
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
2022
37 citations
#44
Weighted average ensemble-based semantic segmentation in biological electron microscopy images
2022
33 citations
#45
Efficient multi-objective evolutionary neural architecture search for U-Nets with diamond atrous convolution and Transformer for medical image segmentation
2023
32 citations
#46
Domain-guided data augmentation for deep learning on medical imaging
2023
31 citations
#47
Explainable convolutional neural networks for assessing head and neck cancer histopathology
2023
31 citations
#48
From pixels to insights: Machine learning and deep learning for bioimage analysis
2023
31 citations
#49
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
2023
30 citations
#50
Segmenting medical images with limited data
2024
29 citations
#51
Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
2022
28 citations
#52
Grain size analysis in permanent magnets from Kerr microscopy images using machine learning techniques
2022
27 citations
#53
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images
2022
27 citations
#54
AI‐Equipped Scanning Probe Microscopy for Autonomous Site‐Specific Atomic‐Level Characterization at Room Temperature
2024
26 citations
#55
Deep Learning-Based Four-Region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
2022
25 citations
#56
Multi-scale morphology-aided deep medical image segmentation
2024
24 citations
#57
Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation
2023
24 citations
#58
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
2022
24 citations
#59
Structure-Oriented Transformer for retinal diseases grading from OCT images
2022
24 citations
#60
Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism
2021
22 citations
#61
Advancing Ocular Imaging: A Hybrid Attention Mechanism-Based U-Net Model for Precise Segmentation of Sub-Retinal Layers in OCT Images
2024
21 citations
#62
Intelligent deep learning supports biomedical image detection and classification of oral cancer
2024
21 citations
#63
MaS-TransUNet: A Multiattention Swin Transformer U-Net for Medical Image Segmentation
2024
21 citations
#64
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
2023
21 citations
#65
Automated Annotator Variability Inspection for Biomedical Image Segmentation
2022
21 citations
#66
Evaluating generic AutoML tools for computational pathology
2022
21 citations
#67
Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images
2024
20 citations
#68
Lung pneumonia severity scoring in chest X-ray images using transformers
2024
20 citations
#69
Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation
2024
20 citations
#70
Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation
2022
20 citations
#71
Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss
2024
19 citations
#72
A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network
2023
19 citations
#73
MyopiaDETR: End-to-end pathological myopia detection based on transformer using 2D fundus images
2023
19 citations
#74
Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models
2022
19 citations
#75
Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A
2025
18 citations
#76
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
2024
18 citations
#77
Optimizing Glaucoma Diagnosis with Deep Learning-Based Segmentation and Classification of Retinal Images
2024
18 citations
#78
AUTOMATIC POLYP SEMANTIC SEGMENTATION USING WIRELESS CAPSULE ENDOSCOPY IMAGES WITH VARIOUS CONVOLUTIONAL NEURAL NETWORK AND OPTIMIZATION TECHNIQUES: A COMPARISON AND PERFORMANCE EVALUATION
2023
18 citations
#79
Detection of Human Visceral Leishmaniasis Parasites in Microscopy Images from Bone Marrow Parasitological Examination
2023
18 citations
#80
Principled Ultrasound Data Augmentation for Classification of Standard Planes
2021
18 citations
#81
Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT
2021
18 citations
#82
Automatic cancer nuclei segmentation on histological images: comparison study of deep learning methods
2024
17 citations
#83
Detection of Viable but Nonculturable E. coli Induced by Low-Level Antimicrobials Using AI-Enabled Hyperspectral Microscopy
2024
17 citations
#84
Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
2021
17 citations
#85
Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy
2023
16 citations
#86
Multi-Configuration Analysis of DenseNet Architecture for Whole Slide Image Scoring of ER-IHC
2023
16 citations
#87
Deep learning segmentation model for automated detection of the opacity regions in the chest X-rays of the Covid-19 positive patients and the application for disease severity
2020
16 citations
#88
Pneumothorax Segmentation with Effective Conditioned Post-Processing in Chest X-Ray
2020
16 citations
#89
Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
2023
15 citations
#90
Probe conditioning via convolution neural network for scanning probe microscopy automation
2023
15 citations
#91
Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System
2021
15 citations
#92
TransRNetFuse: a highly accurate and precise boundary FCN-transformer feature integration for medical image segmentation
2025
14 citations
#93
Brain tumor segmentation based on the U-NET++ network with efficientnet encoder
2024
14 citations
#94
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net
2023
14 citations
#95
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification
2022
14 citations
#96
Thalassemia Diagnosis Through Medical Imaging: A New Artificial Intelligence-Based Framework
2022
14 citations
#97
MedAugment: Universal automatic data augmentation plug-in for medical image analysis
2026
13 citations
#98
Adapting the segment anything model for multi-modal retinal anomaly detection and localization
2024
13 citations
#99
Automated Deep Learning-Based Detection of Early Atherosclerotic Plaques in Carotid Ultrasound Imaging
2024
13 citations
#100
Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning
2024
13 citations