Publications

Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu, Nikhil Devraj, Chunchun Ye, Nellie Ponarul, Syed S. Husain, Ivo D. Dinov (2022). SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization. Information.

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Shan Yu, Alexandr A Kalinin, Maria D Paraskevopoulou, Marco Maruggi, Jie Cheng, Jie Tang, Ilknur Icke, Yi Luo, Qun Wei, Daniel Scheibe, Joel Hunter, Shantanu Singh, Deborah Nguyen, Anne E Carpenter, Shane R Horman (2022). Integrating inflammatory biomarker analysis and artificial intelligence-enabled image-based profiling to identify drug targets for intestinal fibrosis. bioRxiv.

Roman Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva (2022). 3D Convolutional Neural Networks for Stalled Brain Capillary Detection. Computers in Biology and Medicine.

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Alexandr A Kalinin, Xinhai Hou, Alex S Ade, Gordon-Victor Fon, Walter Meixner, Gerald A Higgins, Jonathan Z Sexton, Xiang Wan, Ivo D Dinov, Matthew J. O’Meara, Brian D Athey (2021). Valproic Acid-Induced Changes of 4D Nuclear Morphology in Astrocyte Cells. Molecular Biology of the Cell.

Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr Kalinin (2020). Deep Learning for Automatic Pneumonia Detection. CVPRW 2020.

Alexandr A Kalinin, Vladimir I Iglovikov, Alexander Rakhlin, Alexey A Shvets (2020). Medical image segmentation using deep neural networks with pre-trained encoders. Deep Learning Applications.

Alexander Buslaev, Vladimir I Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, Alexandr A Kalinin (2020). Albumentations: fast and flexible image augmentations. Information.

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Alexander Rakhlin, Aleksei Tiulpin, Alexey A Shvets, Alexandr A Kalinin, Vladimir I Iglovikov, Sergey Nikolenko (2019). Breast Tumor Cellularity Assessment using Deep Neural Networks. ICCVW 2019.

Ming Tang, Chao Gao, Stephen A Goutman, Alexandr Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D. Dinov (2019). Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics.

Roman Solovyev, Alexander Kustov, Dmitry Telpukhov, Vladimir Rukhlov, Alexandr Kalinin (2019). Fixed-point convolutional neural network for real-time video processing in FPGA. EIConRus 2019.

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Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin (2018). Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning. ICMLA 2018.

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Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin (2018). Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. ICMLA 2018.

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Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets (2018). Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. MICCAIW 2018.

Gen Zheng, Alexandr A. Kalinin, Ivo D. Dinov, Walter Meixner, Shengtao Zhu, John W. Wiley (2018). Hypothesis: Caco-2 cell rotational 3D mechanogenomic Turing patterns has clinical implications to colon crypts. Journal of Cellular and Molecular Medicine.

Alexandr A. Kalinin, Brian D. Athey, Ivo D. Dinov (2018). Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data. AIST-SUP 2018.

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin (2018). Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. ICIAR 2018.

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Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, SM Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey (2018). Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. Pharmacogenomics.

Travers Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul-Michael Agapow, Wei Xie, Gail L. Rosen, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E. Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, David J. Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K. Wiley, Marwin H.S. Segler, Anthony Gitter, Casey S. Greene (2018). Opportunities And Obstacles For Deep Learning In Biology And Medicine. J R Soc Interface.

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Brian T. Cheng, Alexandr A. Kalinin, Marina Pokrovskaya (2018). Electronic Health Records in the United States and Russia: Challenges and Opportunities for Collaborative Leadership. SURF Research Journal.

Alexandr A. Kalinin, Selvam Palanimalai, Ivo D. Dinov (2017). SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. HILDA'17.

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Syed S Husain, Alexandr Kalinin, Anh Truong, Ivo D Dinov (2015). SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. Journal of Big Data.

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Ivo D. Dinov, Kyle Siegrist, Dennis K. Pearl, Alexandr Kalinin, Nicolas Christou (2015). Probability Distributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions. Computational Statistics.

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Alexandr A. Kalinin, Daniil V. Lisitsin (2011). Robust estimation of qualitative response regression models. AMSA 2011.