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ORCIDAlexander V. Khvostikov
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Journal Articles
- 2024
[j6]Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov:
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. 50(3): 257-263 (2024)- 2023
- [j5]Maksim A. Penkin
, Alexander V. Khvostikov, Andrey S. Krylov:
Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis. Program. Comput. Softw. 49(3): 172-177 (2023) - [j4]Nikita D. Lokshin, Alexander V. Khvostikov, Andrey S. Krylov:
Augmenting the Training Set of Histological Images with Adversarial Examples. Program. Comput. Softw. 49(3): 187-191 (2023) - 2021
- [j3]Maxim A. Penkin, Andrey S. Krylov, Alexander V. Khvostikov:
Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images. Program. Comput. Softw. 47(3): 207-214 (2021) - 2020
- [j2]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:
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - 2017
- [j1]Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan:
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics. Signal Process. Image Commun. 59: 3-11 (2017)
Conference and Workshop Papers
- 2023
- [c7]Alexander V. Khvostikov, Vladimir Ippolitov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
PathScribe: new software to work with whole slide histological images for education and research. ICBSP 2023: 63-70 - 2022
- [c6]Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
Visualization and Analysis of Whole Slide Histological Images. ICPR Workshops (2) 2022: 403-413 - 2020
- [c5]Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
CNN Assisted Hybrid Algorithm for Medical Images Segmentation. ICBIP 2020: 14-19 - 2019
- [c4]Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov:
Hybrid Method for Biomedical Image Denoising. ICBSP 2019: 60-64 - [c3]Andrey S. Krylov, Maxim A. Penkin, Nikolay V. Mamaev, Alexander V. Khvostikov:
How to choose adaptively parameters of image denoising methods? IPTA 2019: 1-6 - 2018
- [c2]Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline:
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. CBMS 2018: 345-350 - 2015
- [c1]Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan:
Influence of ultrasound despeckling on the liver fibrosis classification. IPTA 2015: 440-445
Informal and Other Publications
- 2018
- [i3]Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline:
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. CoRR abs/1801.05968 (2018) - [i2]Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova, N. Oleynikova, Ilya Mikhailov, Pavel Malkov:
Histological images segmentation of mucous glands. CoRR abs/1806.07781 (2018) - [i1]Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau:
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. CoRR abs/1809.03972 (2018)
Coauthor Index
aka: Andrei S. Krylov
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