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 2021-05-01 to 2025-05-01.)

Article	Citations
TestFit: A plug-and-play one-pass test time method for medical image segmentation	613
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy	545
Editorial Board	520
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding	487
Editorial Board	404
Compare and contrast: Detecting mammographic soft-tissue lesions with C2	393
Erratum to ’ Anomaly Segmentation in Retinal Images with Possion-Blending Data Augmentation’ [Medical Image Analysis 81 (2022) 102534]	376
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	371
MIST: Multi-instance selective transformer for histopathological subtype prediction	346
Self-supervised learning of neighborhood embedding for longitudinal MRI	329
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	298
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	291
Multimodal super-resolved q-space deep learning	277
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	228
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]	222
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning	218
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	207
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data	196
3D multi-modality Transformer-GAN for high-quality PET reconstruction	196
Low-field magnetic resonance image enhancement via stochastic image quality transfer	191
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	190
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier	186
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI	183
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	171
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	153

Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity	153
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images	152
Latent Transformer Models for out-of-distribution detection	146
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI	146
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos	145
Robust deep learning-based semantic organ segmentation in hyperspectral images	145
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification	134
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images	132
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	132
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography	131
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	130
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	130
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	125
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method	124
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis	122
AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT	121
Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images	117
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474	117
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI	111
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization	111
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue	111
Validation of 4D Flow based relative pressure maps in aortic flows	109
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study	109
What matters in reinforcement learning for tractography	100
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI	100
A transfer learning approach to few-shot segmentation of novel white matter tracts	99
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints	98
MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images	98
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents	94
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images	92
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling	89
A robust image segmentation and synthesis pipeline for histopathology	89
Learning what and where to segment: A new perspective on medical image few-shot segmentation	88
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction	88
Dynamic feature splicing for few-shot rare disease diagnosis	88
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning	88
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training	87
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room	87
Editorial Board	86
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery	85
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	83
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds	82
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification	82
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment	80
Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation	80
ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement	79
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images	78
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation	75
Surface deformation tracking in monocular laparoscopic video	75
A multimodal deep learning model for cardiac resynchronisation therapy response prediction	74

A causality-inspired generalized model for automated pancreatic cancer diagnosis	74
On the challenges and perspectives of foundation models for medical image analysis	74
DermX: An end-to-end framework for explainable automated dermatological diagnosis	74