Alexander V. Khvostikov

18 papers B 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
From Pixels to Panoramas: A Deep Learning Pipeline for Mineral Image Analysis.
IPTA
Alexander V. Khvostikov, Gleb Nikolaev, Svetlana Krasnova, Dmitry Korshunov, Mikhail Boguslavsky, Andrey S. Krylov
2025 J jnl
WSI-GT: Pseudo-Label Guided Graph Transformer for Whole-Slide Histology.
Mach. Learn. Knowl. Extr.
Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
2024 J jnl
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images.
Program. Comput. Softw.
Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov
2023 J jnl
Augmenting the Training Set of Histological Images with Adversarial Examples.
Program. Comput. Softw.
Nikita D. Lokshin, Alexander V. Khvostikov, Andrey S. Krylov
2023 J jnl
Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis.
Program. Comput. Softw.
Maksim A. Penkin, Alexander V. Khvostikov, Andrey S. Krylov
2023 — conf
PathScribe: new software to work with whole slide histological images for education and research.
ICBSP
Alexander V. Khvostikov, Vladimir Ippolitov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
2022 — conf
Visualization and Analysis of Whole Slide Histological Images.
ICPR Workshops (2)
Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
2021 J jnl
Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images.
Program. Comput. Softw.
Maxim A. Penkin, Andrey S. Krylov, Alexander V. Khvostikov
2020 J jnl
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
IEEE Trans. Medical Imaging
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
2020 — conf
CNN Assisted Hybrid Algorithm for Medical Images Segmentation.
ICBIP
Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
2019 — conf
How to choose adaptively parameters of image denoising methods?
IPTA
Andrey S. Krylov, Maxim A. Penkin, Nikolay V. Mamaev, Alexander V. Khvostikov
2019 — conf
Hybrid Method for Biomedical Image Denoising.
ICBSP
Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov
2018 J jnl
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies.
CoRR
Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline
2018 J jnl
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics.
CoRR
Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau
2018 B conf
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning.
CBMS
Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline
2018 J jnl
Histological images segmentation of mucous glands.
CoRR
Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova, N. Oleynikova, Ilya Mikhailov, Pavel Malkov
2017 J jnl
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics.
Signal Process. Image Commun.
Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan
2015 — conf
Influence of ultrasound despeckling on the liver fibrosis classification.
IPTA
Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan