Alexander V. Khvostikov

According to our database, Alexander V. Khvostikov authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis.

Maksim A. Penkin, Alexander V. Khvostikov, Andrey S. Krylov

Program. Comput. Softw., 2023

Augmenting the Training Set of Histological Images with Adversarial Examples.

Nikita D. Lokshin, Alexander V. Khvostikov, Andrey S. Krylov

Program. Comput. Softw., 2023

PathScribe: new software to work with whole slide histological images for education and research.

Alexander V. Khvostikov, Vladimir Ippolitov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov

Proceedings of the 2023 8th International Conference on Biomedical Imaging, 2023

2022

Visualization and Analysis of Whole Slide Histological Images.

Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images.

Maxim A. Penkin, Andrey S. Krylov, Alexander V. Khvostikov

Program. Comput. Softw., 2021

2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.

Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia

IEEE Trans. Medical Imaging, 2020

CNN Assisted Hybrid Algorithm for Medical Images Segmentation.

Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov

Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020

2019

How to choose adaptively parameters of image denoising methods?

Andrey S. Krylov, Maxim A. Penkin, Nikolay V. Mamaev, Alexander V. Khvostikov

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Hybrid Method for Biomedical Image Denoising.

Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov

Proceedings of the ICBSP 2019: 4th International Conference on Biomedical Imaging, 2019

2018

3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics.

Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau

CoRR, 2018

Histological images segmentation of mucous glands.

Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova, N. Oleynikova, Ilya Mikhailov, Pavel Malkov

CoRR, 2018

3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies.

Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline

CoRR, 2018

Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning.

Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics.

Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan

Signal Process. Image Commun., 2017

2015

Influence of ultrasound despeckling on the liver fibrosis classification.

Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan

Proceedings of the 2015 International Conference on Image Processing Theory, 2015