Alexandr A. Kalinin

According to our database, Alexandr A. Kalinin authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

Improving Acne Image Grading with Label Distribution Smoothing.

Kirill Prokhorov, Alexandr A. Kalinin

CoRR, 2024

2022

Ten quick tips for deep learning in biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

PLoS Comput. Biol., 2022

SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization.

Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu, Nikhil Devraj, Chunchun Ye, Nellie Ponarul, Syed S. Husain, Ivo D. Dinov

Inf., 2022

3D convolutional neural networks for stalled brain capillary detection.

Roman A. Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva

Comput. Biol. Medicine, 2022

2021

Ten Quick Tips for Deep Learning in Biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

CoRR, 2021

2020

Albumentations: Fast and Flexible Image Augmentations.

Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, Alexandr A. Kalinin

Inf., 2020

Deep Learning for Automatic Pneumonia Detection.

Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Ming Tang, Chao Gao, Stephen A. Goutman, Alexandr A. Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D. Dinov

Neuroinformatics, 2019

Breast Tumor Cellularity Assessment Using Deep Neural Networks.

Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Algorithms of Energy Efficient Control of Electric Technological Complex for Autonomous Heat Supply.

Iosif V. Breido, Alexandr A. Kalinin, D. V. Lissitsyn

EAI Endorsed Trans. Energy Web, 2018

Albumentations: fast and flexible image augmentations.

Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin

CoRR, 2018

FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations.

Roman A. Solovyev, Alexandr A. Kalinin, Alexander G. Kustov, Dmitry V. Telpukhov, Vladimir S. Ruhlov

CoRR, 2018

Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification.

Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, S. M. Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey

CoRR, 2018

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning.

Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks.

Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results.

Alexandr A. Kalinin, Ari Allyn-Feuer, Alexander S. Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Jeffrey R. de Wet, Gerald A. Higgins, Gen Zheng, Amy Creekmore, John W. Wiley, James E. Verdone, Robert W. Veltri, Kenneth J. Pienta, Donald S. Coffey, Brian D. Athey, Ivo D. Dinov

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data.

Alexandr A. Kalinin, Brian D. Athey, Ivo D. Dinov

Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

2017

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets

CoRR, 2017

SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications.

Alexandr A. Kalinin, Selvam Palanimalai, Ivo D. Dinov

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

2016

Probability <i>Distributome</i>: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions.

Ivo D. Dinov, Kyle Siegrist, Dennis K. Pearl, Alexandr A. Kalinin, Nicolas Christou

Comput. Stat., 2016

2015

SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information.

Syed S. Husain, Alexandr A. Kalinin, Anh Truong, Ivo D. Dinov

J. Big Data, 2015