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ORCIDAlexandr A. Kalinin
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- affiliation: University of Michigan, Ann Arbor, MI, USA
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2020 – today
- 2024
[c10]Kirill Prokhorov, Alexandr A. Kalinin:
Improving Acne Image Grading with Label Distribution Smoothing. ISBI 2024: 1-5- [i12]Kirill Prokhorov, Alexandr A. Kalinin:
Improving Acne Image Grading with Label Distribution Smoothing. CoRR abs/2403.00268 (2024) - 2022
- [j8]Roman A. Solovyev, Alexandr A. Kalinin
, Tatiana Gabruseva:
3D convolutional neural networks for stalled brain capillary detection. Comput. Biol. Medicine 141: 105089 (2022) - [j7]Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu, Nikhil Devraj, Chunchun Ye, Nellie Ponarul, Syed S. Husain, Ivo D. Dinov:
SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization. Inf. 13(11): 547 (2022) - [j6]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:
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18(3) (2022) - 2021
- [i11]Roman A. Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva:
3D Convolutional Neural Networks for Stalled Brain Capillary Detection. CoRR abs/2104.01687 (2021) - [i10]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:
Ten Quick Tips for Deep Learning in Biology. CoRR abs/2105.14372 (2021) - 2020
- [j5]Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, Alexandr A. Kalinin:
Albumentations: Fast and Flexible Image Augmentations. Inf. 11(2): 125 (2020) - [c9]Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin:
Deep Learning for Automatic Pneumonia Detection. CVPR Workshops 2020: 1436-1443 - [i9]Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin:
Deep Learning for Automatic Pneumonia Detection. CoRR abs/2005.13899 (2020)
2010 – 2019
- 2019
- [j4]Ming Tang, Chao Gao, Stephen A. Goutman, Alexandr A. Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D. Dinov:
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics 17(3): 407-421 (2019) - [c8]Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops 2019: 371-380 - [i8]Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR abs/1905.01743 (2019) - 2018
- [j3]Iosif V. Breido, Alexandr A. Kalinin, D. V. Lissitsyn:
Algorithms of Energy Efficient Control of Electric Technological Complex for Autonomous Heat Supply. EAI Endorsed Trans. Energy Web 5(19): e2 (2018) - [c7]Alexandr A. Kalinin, Brian D. Athey, Ivo D. Dinov:
Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data. AIST (Supplement) 2018: 235-240 - [c6]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:
3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results. CVPR Workshops 2018: 2272-2280 - [c5]Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. ICIAR 2018: 737-744 - [c4]Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin:
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. ICMLA 2018: 612-617 - [c3]Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov:
Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. ICMLA 2018: 624-628 - [c2]Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets:
Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI 2018: 300-308 - [i7]Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, S. M. Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey:
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. CoRR abs/1801.08570 (2018) - [i6]Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. CoRR abs/1802.00752 (2018) - [i5]Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir Iglovikov:
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning. CoRR abs/1803.01207 (2018) - [i4]Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin:
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. CoRR abs/1804.08024 (2018) - [i3]Roman A. Solovyev, Alexandr A. Kalinin, Alexander G. Kustov, Dmitry V. Telpukhov, Vladimir S. Ruhlov:
FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations. CoRR abs/1808.09945 (2018) - [i2]Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin:
Albumentations: fast and flexible image augmentations. CoRR abs/1809.06839 (2018) - 2017
- [c1]Alexandr A. Kalinin, Selvam Palanimalai, Ivo D. Dinov:
SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. HILDA@SIGMOD 2017: 8:1-8:6 - [i1]Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets:
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. CoRR abs/1712.05053 (2017) - 2016
- [j2]Ivo D. Dinov, Kyle Siegrist, Dennis K. Pearl, Alexandr A. Kalinin, Nicolas Christou:
Probability Distributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions. Comput. Stat. 31(2): 559-577 (2016) - 2015
- [j1]Syed S. Husain, Alexandr A. Kalinin, Anh Truong, Ivo D. Dinov:
SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. J. Big Data 2: 13 (2015)
Coauthor Index
aka: Vladimir I. Iglovikov
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