OOIR: Observatory of International Research

Papers

(The H4-Index of Medical Image Analysis is 74. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Editorial Board	651
Editorial Board	583
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	554
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	517
MIST: Multi-instance selective transformer for histopathological subtype prediction	418
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	409
Multimodal super-resolved q-space deep learning	398
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	379
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]	366
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	355
TestFit: A plug-and-play one-pass test time method for medical image segmentation	328
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	303
3D multi-modality Transformer-GAN for high-quality PET reconstruction	302
Compare and contrast: Detecting mammographic soft-tissue lesions with C2	238
Self-supervised learning of neighborhood embedding for longitudinal MRI	236
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	220
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	207
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	206
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	201
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	201
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	172
Low-field magnetic resonance image enhancement via stochastic image quality transfer	167
Latent Transformer Models for out-of-distribution detection	158
Robust deep learning-based semantic organ segmentation in hyperspectral images	158
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	155

Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	155
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	151
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	146
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	145
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	144
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	139
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	139
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	134
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	134
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	134
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	129
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	119
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	119
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	119
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	114
Validation of 4D Flow based relative pressure maps in aortic flows	114
What matters in reinforcement learning for tractography	111
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	109
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling	105
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	103
Learning what and where to segment: A new perspective on medical image few-shot segmentation	103
Editorial Board	97
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	97
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	96
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	95
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	93
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	92
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	91
A transfer learning approach to few-shot segmentation of novel white matter tracts	90
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	87
Dynamic feature splicing for few-shot rare disease diagnosis	87
A robust image segmentation and synthesis pipeline for histopathology	87
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	87
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	85
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	84
Surface deformation tracking in monocular laparoscopic video	83
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	82
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	81
DermX: An end-to-end framework for explainable automated dermatological diagnosis	80
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	78
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	78
Corrigendum to “LESS: Label-efficient multi-scale learning for cytological whole slide image screening” [Medical Image Analysis 94 (2024): 103109]	78
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	77
Loss odyssey in medical image segmentation	77
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	76
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	76
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	75
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	75
On the challenges and perspectives of foundation models for medical image analysis	75
A causality-inspired generalized model for automated pancreatic cancer diagnosis	74