OOIR: Observatory of International Research

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 2022-08-01 to 2026-08-01.)

Article	Citations
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	1184
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	1103
MIST: Multi-instance selective transformer for histopathological subtype prediction	956
Editorial Board	745
Editorial Board	714
Editorial Board	703
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	691
Self-supervised learning of neighborhood embedding for longitudinal MRI	591
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]	450
Facial appearance prediction for orthognathic surgery with diffusion models	419
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction	416
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	398
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	393
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	322
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	303
Disentangled generative uncertainty-aware multi-modal diffusion segmentation of medical images	271
GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation	235
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	233
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	222
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	210
Asymmetric fiber orientation distribution estimation via unsupervised deep learning	205
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease	203
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	202
Decoding the surgical scene: A scoping review of scene graphs in surgery	188
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	176

Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data	176
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	176
TestFit: A plug-and-play one-pass test time method for medical image segmentation	173
Low-field magnetic resonance image enhancement via stochastic image quality transfer	171
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	162
3D multi-modality Transformer-GAN for high-quality PET reconstruction	161
Latent Transformer Models for out-of-distribution detection	158
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	157
Robust deep learning-based semantic organ segmentation in hyperspectral images	144
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	142
Editorial Board	138
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	135
Learning what and where to segment: A new perspective on medical image few-shot segmentation	134
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	134
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	133
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	132
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence	127
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	122
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	119
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	110
SicTTA: Single image continual test time adaptation for medical image segmentation	109
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	108
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection	108
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	105
Dynamic feature splicing for few-shot rare disease diagnosis	100
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	100
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	99
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature	97
What matters in reinforcement learning for tractography	97
Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning	97
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	96
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics	96
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	95
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	93
From model based to learned regularization in medical image registration: A comprehensive review	92
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components	92
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR	91
DermX: An end-to-end framework for explainable automated dermatological diagnosis	91
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	90
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	90
A causality-inspired generalized model for automated pancreatic cancer diagnosis	89
A robust image segmentation and synthesis pipeline for histopathology	89
Surface deformation tracking in monocular laparoscopic video	87
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels	86
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction	86
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	84
MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis	83
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	83
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	79
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	79

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	78
MI2-Net: A Mamba-based Network for Joint Incomplete Multi-Modal and Incomplete Label MRI Image Segmentation	77