OOIR: Observatory of International Research

Papers

(The H4-Index of Medical Image Analysis is 71. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Meta multi-task nuclei segmentation with fewer training samples	470
Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations	427
Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI	381
PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis	369
MIST: Multi-instance selective transformer for histopathological subtype prediction	353
DeepHCS++: Bright-field to f	337
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation	335
Low-field magnetic resonance image enhancement via stochastic image quality transfer	330
A survey on deep learning for skin lesion segmentation	303
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation	276
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification	266
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images	236
Medical federated learning with joint graph purification for noisy label learning	229
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks	228
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation	221
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis	188
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images	182
Boundary-aware context neural network for medical image segmentation	177
Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation	172
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis	170
End-to-End diagnosis of breast biopsy images with transformers	162
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation	160
RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy	157
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse	151
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework	149

Surgical data science – from concepts toward clinical translation	146
Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation	140
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images	137
Self-supervised learning of neighborhood embedding for longitudinal MRI	129
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	121
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	119
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning	119
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks	117
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images	114
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	114
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers	108
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images	107
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks	106
Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation	104
Real-time echocardiography image analysis and quantification of cardiac indices	103
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis	103
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials	103
End-to-end multimodal image registration via reinforcement learning	101
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration	100
JOSA: Joint surface-based registration and atlas construction of brain geometry and function	99
A statistical deformation model-based data augmentation method for volumetric medical image segmentation	99
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity	97
Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration	97
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data	97
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment	96
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement	94
Suggestive annotation of brain MR images with gradient-guided sampling	94
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors	93
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery	87
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning	86
Prompt tuning for parameter-efficient medical image segmentation	85
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking	84
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	83
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation	82
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging	81
Deblurring masked image modeling for ultrasound image analysis	80
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains	80
Structure and position-aware graph neural network for airway labeling	77
Deep learning models of cognitive processes constrained by human brain connectomes	76
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability	74
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation	74
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework	74
Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering	74
Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints	72
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients	72
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer	72
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning	71