Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. - Tomás Vicar; Petra Novotna; Jakub Hejc; Marina Ronzhina; Radovan Smísek (CinC, 2019)

Iterative machine learning based rotational alignment of brain 3D CT data. - Jirí Chmelík; Roman Jakubícek; Tomás Vicar; Petr Walek; Petr Ourednicek; Jirí Jan (EMBC, 2019)

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. - Tomás Vicar; Jan Balvan; Josef Jaros; Florian Jug; Radim Kolár; Michal Masarik; Jaromir Gumulec (BMC Bioinform., 2019)

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. - Alexander Krull; Tomás Vicar; Florian Jug (CoRR, 2019)

Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations. - Petra Novotna; Tomás Vicar; Marina Ronzhina; Jakub Hejc; Jana Kolarova (CinC, 2020)

ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function. - Tomás Vicar; Jakub Hejc; Petra Novotna; Marina Ronzhina; Oto Janousek (CinC, 2020)

A Tool for Automatic Estimation of Patient Position in Spinal CT Data. - Roman Jakubícek; Tomás Vicar; Jirí Chmelík (CoRR, 2020)

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. - Alexander Krull; Tomás Vicar; Mangal Prakash; Manan Lalit; Florian Jug (Frontiers Comput. Sci., 2020)

Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data. - Petra Novotna; Tomás Vicar; Jakub Hejc; Marina Ronzhina (CinC, 2021)

Cardiac Arrhythmias Classification in Kardiovize Population Study. - Martin Pesl; Jakub Hejc; Tomas Kulik; Tomás Vicar; Petra Novotna; Marina Ronzhina; Juraj Jakubik; Pavel Leinveber; Juan Pablo Gonzalez Rivas; Zdenek Starek (CinC, 2021)

Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads. - Tomás Vicar; Petra Novotna; Jakub Hejc; Oto Janousek; Marina Ronzhina (CinC, 2021)

Increasing the Image Contrast via Fast Fluorescence Photobleaching. - Radim Kolár; Larisa Chmelíková; Tomás Vicar; Ivo Provazník (EMBC, 2021)

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. - Tomás Vicar; Jaromir Gumulec; Radim Kolár; Jirí Chmelík; Jiri Navratil; Larisa Chmelíková; Vratislav Cmiel; Ivo Provazník; Michal Masarik (EMBC, 2021)

Deep-learning Based Prediction of Virtual Non-contrast CT Images. - Roman Jakubícek; Tomás Vicar; Jirí Chmelík; Petr Ourednicek; Jirí Jan (ISEEIE, 2021)

Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization. - Jakub Nemcek; Tomás Vicar; Roman Jakubícek (BIOIMAGING, 2022)

Registration of Medical Image Sequences Using Auto-differentiation. - Tomás Vicar; Roman Jakubícek; Jirí Chmelík; Radim Kolár (MICAD, 2022)

Analýza mikroskopických obrazů nádorových buněk ; Analysis of Microscopic Images of Cancer Cells. - Tomás Vicar (2022)