Medical Image Analysis

Papers
(The H4-Index of Medical Image Analysis is 78. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding1081
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI1011
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data982
MIST: Multi-instance selective transformer for histopathological subtype prediction956
Editorial Board895
Editorial Board680
Editorial Board671
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification644
Self-supervised learning of neighborhood embedding for longitudinal MRI641
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data523
Robust deep learning-based semantic organ segmentation in hyperspectral images424
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]379
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data378
Facial appearance prediction for orthognathic surgery with diffusion models361
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation359
TestFit: A plug-and-play one-pass test time method for medical image segmentation294
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images268
Asymmetric fiber orientation distribution estimation via unsupervised deep learning248
Latent Transformer Models for out-of-distribution detection221
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease210
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction199
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes195
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning195
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification193
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]189
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging185
PIVOTS: Aligning unseen structures using preoperative to intraoperative volume-to-surface registration for liver navigation167
3D multi-modality Transformer-GAN for high-quality PET reconstruction164
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis163
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge162
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability162
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images161
Low-field magnetic resonance image enhancement via stochastic image quality transfer154
Editorial Board151
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images151
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI150
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents145
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images143
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection136
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints132
DermX: An end-to-end framework for explainable automated dermatological diagnosis130
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study127
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction127
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics126
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement125
Learning what and where to segment: A new perspective on medical image few-shot segmentation123
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification123
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images122
A causality-inspired generalized model for automated pancreatic cancer diagnosis120
A transfer learning approach to few-shot segmentation of novel white matter tracts119
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR112
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue108
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction107
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels103
SicTTA: Single image continual test time adaptation for medical image segmentation99
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room98
Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning98
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation93
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT92
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature92
Surface deformation tracking in monocular laparoscopic video91
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence90
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization89
From model based to learned regularization in medical image registration: A comprehensive review89
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis88
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]88
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training87
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components87
MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis87
On the challenges and perspectives of foundation models for medical image analysis85
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery82
What matters in reinforcement learning for tractography82
A multimodal deep learning model for cardiac resynchronisation therapy response prediction80
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 10247480
A robust image segmentation and synthesis pipeline for histopathology80
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images80
Dynamic feature splicing for few-shot rare disease diagnosis79
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning79
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