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Ivabradine does not impair anxiety-like behavior and memory in both healthy and L-NAME-induced hypertensive rats

Physiological research, 2018-01, Vol.67 (Supplementum 4), p.S655-S664

2018

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Effect of ivabradine, captopril and melatonin on the behaviour of rats in L-nitro-arginine methyl ester-induced hypertension

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society, 2016-12, Vol.67 (6), p.895

2016

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Vox2Vox: 3D-GAN for Brain Tumour Segmentation

BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES (BRAINLES 2020), PT I, 2021, p.274-284

2021

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Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.327-339

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Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.80-91

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Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.183-193

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Efficient Embedding Network for 3D Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.252-262

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MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.354-366

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Modality-Pairing Learning for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.230-240

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Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021, p.412-423

2021

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Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.30-38

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MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.424-434

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Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.492-502

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Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.318-326

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Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.367-375

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Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.514-523

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Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.307-317

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Multimodal Brain Image Analysis and Survival Prediction Using Neuromorphic Attention-Based Neural Networks

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.194-206

Han, Il Song

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Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.458-469

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Segmentation of the Multimodal Brain Tumor Images Used Res-U-Net

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.263-273

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Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.70-79

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Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.391-400

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Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.168-180

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Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.51-59

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Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation Task

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.231-241

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Ivabradine does not impair anxiety-like behavior and memory in both healthy and L-NAME-induced hypertensive rats

Effect of ivabradine, captopril and melatonin on the behaviour of rats in L-nitro-arginine methyl ester-induced hypertension

Vox2Vox: 3D-GAN for Brain Tumour Segmentation

Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology

Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images

Efficient Embedding Network for 3D Brain Tumor Segmentation

MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble

Modality-Pairing Learning for Brain Tumor Segmentation

Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation

Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics

MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking

Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction

Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis

Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet

Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors

Multimodal Brain Image Analysis and Survival Prediction Using Neuromorphic Attention-Based Neural Networks

Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation

Segmentation of the Multimodal Brain Tumor Images Used Res-U-Net

Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis

Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions

Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography

Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation Task

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