Medical Image Analysis

Papers
(The H4-Index of Medical Image Analysis is 77. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial Board719
Editorial Board646
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]620
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery578
MIST: Multi-instance selective transformer for histopathological subtype prediction441
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI435
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier419
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity383
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging376
Corrigendum to “Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge” [Medical Image Analysis, April 2022, Volume 77, 102333]357
TestFit: A plug-and-play one-pass test time method for medical image segmentation316
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy271
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification263
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data253
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning247
Low-field magnetic resonance image enhancement via stochastic image quality transfer238
Editorial Board214
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding210
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment180
Self-supervised learning of neighborhood embedding for longitudinal MRI175
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy170
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI165
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images162
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation157
Latent Transformer Models for out-of-distribution detection155
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis152
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography150
Robust deep learning-based semantic organ segmentation in hyperspectral images148
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes144
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images138
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification137
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data132
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge127
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis118
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images117
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images116
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification114
3D multi-modality Transformer-GAN for high-quality PET reconstruction112
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse110
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT106
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474102
Validation of 4D Flow based relative pressure maps in aortic flows102
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI100
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints97
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation95
What matters in reinforcement learning for tractography95
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation94
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds94
Editorial Board93
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room93
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification92
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images91
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]90
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training89
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement89
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization88
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment88
A transfer learning approach to few-shot segmentation of novel white matter tracts88
Surface deformation tracking in monocular laparoscopic video88
A causality-inspired generalized model for automated pancreatic cancer diagnosis84
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images84
Dynamic feature splicing for few-shot rare disease diagnosis84
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning83
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images82
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images81
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue81
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents81
Learning what and where to segment: A new perspective on medical image few-shot segmentation81
A robust image segmentation and synthesis pipeline for histopathology80
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study79
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction79
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics79
On the challenges and perspectives of foundation models for medical image analysis79
DermX: An end-to-end framework for explainable automated dermatological diagnosis78
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis78
A multimodal deep learning model for cardiac resynchronisation therapy response prediction78
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery77
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