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Precise proximal femur fracture classification for interactive training and surgical planning

International journal for computer assisted radiology and surgery, 2020-05, Vol.15 (5), p.847-857

2020

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Precise proximal femur fracture classification for interactive training and surgical planning

International journal for computer assisted radiology and surgery, 2020-05, Vol.15 (5), p.847-857

2020

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Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1, 2022

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ReMIND: The Brain Resection Multimodal Imaging Database

Scientific data, 2024-05, Vol.11 (1), p.494-494, Article 494

2024

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Unsupervised pre-training of graph transformers on patient population graphs

Medical image analysis, 2023-10, Vol.89, p.102895-102895, Article 102895

2023

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RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data

Medical image analysis, 2022-01, Vol.75, p.102272-102272, Article 102272

2022

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Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications

Medical image analysis, 2023-08, Vol.88, p.102839-102839, Article 102839

2023

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Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification

Artificial intelligence in medicine, 2021-07, Vol.117, p.102097-102097, Article 102097

2021

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Metric hashing forests

Medical image analysis, 2016-12, Vol.34, p.13-29

2016

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Latent-Graph Learning for Disease Prediction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.643-653

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Self-Attention Equipped Graph Convolutions for Disease Prediction

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1896-1899

2019

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IEEE_Xplore

Endorsing cellular competitiveness in aberrant epithelium of oral submucous fibrosis progression: neighbourhood analysis of immunohistochemical attributes

Histochemistry and cell biology, 2018-07, Vol.150 (1), p.61-75

2018

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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Information Processing in Medical Imaging, p.73-85

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IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction

Machine Learning in Medical Imaging, 2024, Vol.14348, p.382-392

2024

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Graph Convolution Based Attention Model for Personalized Disease Prediction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.122-130

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Multi-head Graph Convolutional Network for Structural Connectome Classification

Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2024, p.27-36

2024

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Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.69-78

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Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.99-107

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TaG-Net: Topology-Aware Graph Network for Vessel Labeling

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.108-117

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Light Adaptation for Classification of the Upper Gastrointestinal Sites

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.3-12

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Transforming Connectomes to “Any” Parcellation via Graph Matching

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.118-127

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Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

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GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.709-718

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SuperPoint Features in Endoscopy

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, p.45-55

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Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.640-648

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Precise proximal femur fracture classification for interactive training and surgical planning

Precise proximal femur fracture classification for interactive training and surgical planning

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

ReMIND: The Brain Resection Multimodal Imaging Database

Unsupervised pre-training of graph transformers on patient population graphs

RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications

Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification

Metric hashing forests

Latent-Graph Learning for Disease Prediction

Self-Attention Equipped Graph Convolutions for Disease Prediction

Endorsing cellular competitiveness in aberrant epithelium of oral submucous fibrosis progression: neighbourhood analysis of immunohistochemical attributes

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction

Graph Convolution Based Attention Model for Personalized Disease Prediction

Multi-head Graph Convolutional Network for Structural Connectome Classification

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis

Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification

TaG-Net: Topology-Aware Graph Network for Vessel Labeling

Light Adaptation for Classification of the Upper Gastrointestinal Sites

Transforming Connectomes to “Any” Parcellation via Graph Matching

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

SuperPoint Features in Endoscopy

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks

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