OOIR: Observatory of International Research

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 2021-11-01 to 2025-11-01.)

Article	Citations
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	822
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]	746
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	737
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	661
CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	515
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	502
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	495
Self-supervised learning of neighborhood embedding for longitudinal MRI	449
Low-field magnetic resonance image enhancement via stochastic image quality transfer	446
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	443
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	426
Robust deep learning-based semantic organ segmentation in hyperspectral images	356
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	304
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	303
TestFit: A plug-and-play one-pass test time method for medical image segmentation	276
Editorial Board	243
3D multi-modality Transformer-GAN for high-quality PET reconstruction	241
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	207
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	189
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	187
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	187
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	185
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	170
Latent Transformer Models for out-of-distribution detection	163
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	162

Editorial Board	160
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	159
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	157
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	152
MIST: Multi-instance selective transformer for histopathological subtype prediction	146
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	141
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	138
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	137
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	133
Editorial Board	131
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	129
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	127
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	125
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	122
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	122
Validation of 4D Flow based relative pressure maps in aortic flows	121
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	116
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	111
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	111
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	110
DermX: An end-to-end framework for explainable automated dermatological diagnosis	110
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	108
A causality-inspired generalized model for automated pancreatic cancer diagnosis	107
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	107
Dynamic feature splicing for few-shot rare disease diagnosis	106
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	105
A transfer learning approach to few-shot segmentation of novel white matter tracts	104
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	103
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	103
Learning what and where to segment: A new perspective on medical image few-shot segmentation	103
Surface deformation tracking in monocular laparoscopic video	103
What matters in reinforcement learning for tractography	99
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	98
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	98
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	97
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	97
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	96
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	96
A robust image segmentation and synthesis pipeline for histopathology	96
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	94
SicTTA: Single Image Continual Test Time Adaptation for Medical Image Segmentation	92
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	91
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	90
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	90
On the challenges and perspectives of foundation models for medical image analysis	89
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	88
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	87
Re-identification from histopathology images	85
Robust image representations with counterfactual contrastive learning	83
CP-Net: Instance-aware part segmentation network for biological cell parsing	83

Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages	82
Generating realistic single-cell images from CellProfiler representations	79
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey	78