Alexandr A. Kalinin

34 papers C 2Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Cubic: CUDA-Accelerated 3D Bioimage Computing. ICCVW Alexandr A. Kalinin, Anne E. Carpenter, Shantanu Singh, Matthew J. O'Meara
2025	J	`jnl`	Foreground-aware Virtual Staining for Accurate 3D Cell Morphological Profiling. CoRR Alexandr A. Kalinin, Paula Llanos, Theresa Maria Sommer, Giovanni Sestini, Xinhai Hou, Jonathan Z. Sexton, Xiang Wan, Ivo D. Dinov, Brian D. Athey, Nicolas Rivron, Anne E. Carpenter, Beth A. Cimini, Shantanu Singh, Matthew J. O'Meara
2025	J	`jnl`	cp_measure: API-first feature extraction for image-based profiling workflows. CoRR Alán F. Muñoz, Tim Treis, Alexandr A. Kalinin, Shatavisha Dasgupta, Fabian J. Theis, Anne E. Carpenter, Shantanu Singh
2025	J	`jnl`	cubic: CUDA-accelerated 3D Bioimage Computing. CoRR Alexandr A. Kalinin, Anne E. Carpenter, Shantanu Singh, Matthew J. O'Meara
2024	—	`conf`	Improving Acne Image Grading with Label Distribution Smoothing. ISBI Kirill Prokhorov, Alexandr A. Kalinin
2024	J	`jnl`	Improving Acne Image Grading with Label Distribution Smoothing. CoRR Kirill Prokhorov, Alexandr A. Kalinin
2022	J	`jnl`	3D convolutional neural networks for stalled brain capillary detection. Comput. Biol. Medicine Roman A. Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva
2022	J	`jnl`	SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization. Inf. Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu, Nikhil Devraj, Chunchun Ye, Nellie Ponarul, Syed S. Husain, Ivo D. Dinov
2022	J	`jnl`	Ten quick tips for deep learning in biology. PLoS Comput. Biol. 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
2021	J	`jnl`	3D Convolutional Neural Networks for Stalled Brain Capillary Detection. CoRR Roman A. Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva
2021	J	`jnl`	Ten Quick Tips for Deep Learning in Biology. CoRR 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
2020	J	`jnl`	Albumentations: Fast and Flexible Image Augmentations. Inf. Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, Alexandr A. Kalinin
2020	—	`conf`	Deep Learning for Automatic Pneumonia Detection. CVPR Workshops Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin
2020	J	`jnl`	Deep Learning for Automatic Pneumonia Detection. CoRR Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin
2019	—	`conf`	Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko
2019	J	`jnl`	Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko
2019	J	`jnl`	Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics Ming Tang, Chao Gao, Stephen A. Goutman, Alexandr A. Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D. Dinov
2018	—	`conf`	3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results. CVPR Workshops 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
2018	J	`jnl`	Albumentations: fast and flexible image augmentations. CoRR Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin
2018	J	`jnl`	Algorithms of Energy Efficient Control of Electric Technological Complex for Autonomous Heat Supply. EAI Endorsed Trans. Energy Web Iosif V. Breido, Alexandr A. Kalinin, D. V. Lissitsyn
2018	C	`conf`	Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. ICMLA Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin
2018	J	`jnl`	Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. CoRR Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin
2018	J	`jnl`	Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning. CoRR Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir Iglovikov
2018	C	`conf`	Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. ICMLA Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov
2018	—	`conf`	Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. ICIAR Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin
2018	J	`jnl`	Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. CoRR Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin
2018	J	`jnl`	Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. CoRR Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon, S. M. Reza Soroushmehr, Ari Allyn-Feuer, Ivo D. Dinov, Kayvan Najarian, Brian D. Athey
2018	—	`conf`	Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data. AIST (Supplement) Alexandr A. Kalinin, Brian D. Athey, Ivo D. Dinov
2018	J	`jnl`	FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations. CoRR Roman A. Solovyev, Alexandr A. Kalinin, Alexander G. Kustov, Dmitry V. Telpukhov, Vladimir S. Ruhlov
2018	—	`conf`	Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets
2017	J	`jnl`	Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. CoRR Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets
2017	—	`conf`	SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. HILDA@SIGMOD Alexandr A. Kalinin, Selvam Palanimalai, Ivo D. Dinov
2016	J	`jnl`	Probability Comput. Stat. Ivo D. Dinov, Kyle Siegrist, Dennis K. Pearl, Alexandr A. Kalinin, Nicolas Christou
2015	J	`jnl`	SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. J. Big Data Syed S. Husain, Alexandr A. Kalinin, Anh Truong, Ivo D. Dinov