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 2022-05-01 to 2026-05-01.)

Article	Citations
MetaExplainer: Revisit domain generalization of functional connectome analyses from the perspective of explainability	1042
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	976
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	928
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	898
MIST: Multi-instance selective transformer for histopathological subtype prediction	854
Editorial Board	657
Editorial Board	638
Editorial Board	603
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	602
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	498
NuHTC: A hybrid task cascade for nuclei instance segmentation and classification	403
Self-supervised learning of neighborhood embedding for longitudinal MRI	362
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data	358
Hippocampal surface morphological variation-based genome-wide association analysis network for biomarker detection of Alzheimer’s disease	357
Asymmetric fiber orientation distribution estimation via unsupervised deep learning	313
Robust deep learning-based semantic organ segmentation in hyperspectral images	282
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	252
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]	244
Cycle-constrained adversarial denoising convolutional network for PET image denoising: Multi-dimensional validation on large datasets with reader study and real low-dose data	209
Facial appearance prediction for orthognathic surgery with diffusion models	206
Latent Transformer Models for out-of-distribution detection	200
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction	193
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	193
3D multi-modality Transformer-GAN for high-quality PET reconstruction	190
Low-field magnetic resonance image enhancement via stochastic image quality transfer	186

CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images	184
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	171
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	170
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes	165
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	162
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	161
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	159
Decoding the surgical scene: A scoping review of scene graphs in surgery	158
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	156
TestFit: A plug-and-play one-pass test time method for medical image segmentation	156
Editorial Board	147
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	145
A robust image segmentation and synthesis pipeline for histopathology	141
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	139
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	139
SAM-Swin: SAM-driven dual-swin transformers with adaptive lesion enhancement for Laryngo-Pharyngeal tumor detection	138
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	138
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	134
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	132
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	127
DermX: An end-to-end framework for explainable automated dermatological diagnosis	126
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction	123
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	120
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	120
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	119
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	119
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	119
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	118
Prompt guiding multi-scale adaptive sparse representation-driven network for low-dose CT MAR	116
Recovering intrinsic conduction velocity and action potential duration from electroanatomic mapping data using curvature	107
Dynamic feature splicing for few-shot rare disease diagnosis	104
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	103
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	99
Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components	97
A transfer learning approach to few-shot segmentation of novel white matter tracts	96
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	93
What matters in reinforcement learning for tractography	90
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	89
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	88
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	88
Surface deformation tracking in monocular laparoscopic video	87
GAGM: Geometry-aware graph matching framework for weakly supervised gyral hinge correspondence	86
From model based to learned regularization in medical image registration: A comprehensive review	85
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	83
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	83
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis	82
An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels	82
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	81
A causality-inspired generalized model for automated pancreatic cancer diagnosis	79
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	79

On the challenges and perspectives of foundation models for medical image analysis	78
SicTTA: Single image continual test time adaptation for medical image segmentation	78
Learning what and where to segment: A new perspective on medical image few-shot segmentation	77
Use of superpixels for improvement of inter-rater and intra-rater reliability during annotation of medical images	77