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2020 – today
- 2025
[j30]Vojtech Schiller, Radim Burget, Samuel Genzor, Jan Mizera, Anzhelika Mezina:
xU-NetFullSharp: The Novel Deep Learning Architecture for Chest X-ray Bone Shadow Suppression. Biomed. Signal Process. Control. 100: 106983 (2025)- 2024
- [j29]Anzhelika Mezina
, Radim Burget:
Detection of post-COVID-19-related pulmonary diseases in X-ray images using Vision Transformer-based neural network. Biomed. Signal Process. Control. 87(Part A): 105380 (2024) - [j28]Vojtech Myska, Radim Burget, Marin Kolarik, Vladimir Levek, Pavel Steffan, Jiri Haze:
IoT Mechatronic Access Control System ePRO 1.4. IEEE Consumer Electron. Mag. 13(5): 83-92 (2024) - [j27]Rakesh Chandra Joshi, Pallavi Srivastava, Rashmi Mishra, Radim Burget, Malay Kishore Dutta:
Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication. Comput. Methods Programs Biomed. 255: 108349 (2024) - [j26]Anzhelika Mezina, Radim Burget, Aleksandr Ometov:
Reinterpreting Usability of Semantic Segmentation Approach for Darknet Traffic Analysis. Comput. Networks 249: 110493 (2024) - [j25]Rakesh Chandra Joshi, Nitin Singh, Anuj Kumar Sharma, Radim Burget, Malay Kishore Dutta:
AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People. IEEE Trans. Hum. Mach. Syst. 54(3): 325-336 (2024) - [c99]Ekaterina Svertoka, Alexandru Rusu-Casandra, Radim Burget, Jari Nurmi, Aleksandr Ometov:
k-NN Empowered LoRaWAN Localization for Surface and Underground Scenarios: Work-in-Progress Report. WIPHAL 2024 - 2023
- [j24]Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget:
EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network. Neural Comput. Appl. 35(14): 10551-10571 (2023) - [c98]Himanshi Sinha, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Anzhelika Mezina, Radim Burget:
DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images. ICUMT 2023: 38-43 - [c97]Suzain Rashid, Karnati Mohan, Garmia Aggarwal, Malay Kishore Dutta, Pavel Sikora, Radim Burget:
Attention-Based Multiscale Deep Neural Network for Diagnosis of Polycystic Ovary Syndrome Using Ovarian Ultrasound Images. ICUMT 2023: 44-49 - [c96]Vaishali Aggarwal, Geet Sahu, Malay Kishore Dutta, Martin Jonak, Radim Burget:
Multi-scale Attention Network for Early Detection of Alzheimer's Disease from MRI images. ICUMT 2023: 50-55 - [c95]Srishti Verma, Vishal, Rakesh Chandra Joshi, Malay Kishore Dutta, Stepan Jezek, Radim Burget:
AI-Enhanced Mental Health Diagnosis: Leveraging Transformers for Early Detection of Depression Tendency in Textual Data. ICUMT 2023: 56-61 - [c94]Vojtech Myska, Anzhelika Mezina, Petr Vanek, Radim Burget, Samuel Genzor, Jan Mizera, Michal Stybnar, Martin Kiac, Jakub Frolka:
CovidStopHospital: e-Health Service for X-Ray-Based COVID-19 Classification and Radiologist-Assisted Dataset Creation. ICUMT 2023: 62-67 - [c93]Ritesh Maurya, Radim Burget, Rudra Shaurya, Martin Kiac, Malay Kishore Dutta:
Multi-Head Attention-Based Transfer Learning Approach for Porato Disease Detection. ICUMT 2023: 165-169 - [c92]Rashi Chauhan, Karnati Mohan, Malay Kishore Dutta, Radim Burget:
Plant Disease Identification Using a Dual Self-Attention Modified Residual-Inception Network. ICUMT 2023: 170-175 - [c91]Michal Cicatka, Radim Burget, Jan Lancos:
From Segmentation to Clustering: Advancing Algorithms for Grouping Microbial Colonies on Agar Plates. ICUMT 2023: 176-181 - [c90]Petr Kriz, Pavel Sikora, Kamil Ríha, Radim Burget:
Unveiling the Smell Inspector and Machine Learning Methods for Smell Recognition. ICUMT 2023: 182-187 - [c89]Martin Jonak, Jan Dorazil, Martin Kolarík, Stepan Jezek, Radim Burget, Marek Kotrlý:
Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. ICUMT 2023: 188-192 - 2022
- [j23]Neeraj Baghel, Radim Burget, Malay Kishore Dutta:
1D-FHRNet: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals. Biomed. Signal Process. Control. 71(Part): 102794 (2022) - [j22]Juwairiya Siraj Khan, Manoj Kaushik, Anushka Chaurasia, Malay Kishore Dutta, Radim Burget:
Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal. Comput. Methods Programs Biomed. 219: 106727 (2022) - [j21]Neha Sengar, Radim Burget, Malay Kishore Dutta:
A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images. Comput. Methods Programs Biomed. 224: 106996 (2022) - [c88]Ekaterina Svertoka, Ion Marghescu, Alexandru Rusu-Casandra, Radim Burget, Jiri Hosek, Pavel Masek, Aleksandr Ometov:
Evaluation of Real-Life LoRaWAN Localization: Accuracy Dependencies Analysis Based on Outdoor Measurement Datasets. COMM 2022: 1-7 - [c87]Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak:
Anomaly detection for real-world industrial applications: benchmarking recent self-supervised and pretrained methods. ICUMT 2022: 64-69 - [c86]Martin Jonak, Stepan Jezek, Radim Burget:
Evaluation of Nested U-Net models performance on MVTec AD dataset. ICUMT 2022: 70-75 - [c85]Martin Kolarík, Martin Jonak, Jiri Prinosil, Ondrej Krajsa, Radim Burget, Tomas Gajdaczek:
One-Class Learning Weed Plants Detection on Multispectral Images. ICUMT 2022: 76-79 - [c84]Anzhelika Mezina, Radim Burget:
Obfuscated malware detection using dilated convolutional network. ICUMT 2022: 110-115 - [c83]Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Vojtech Myska:
Osteo-Net: A Robust Deep Learning-Based Diagnosis of Osteoporosis Using X-ray images. TSP 2022: 91-95 - [c82]Anjani Singh, Neha Sengar, Malay Kishore Dutta, Radim Burget:
A Shallow Convolution Neural Network for Predicting Lung Cancer Through Analysis of Histopathological Tissue Images. TSP 2022: 126-131 - [c81]Mohd Mohsin Ali, Rakesh Chandra Joshi, Malay Kishore Dutta, Radim Burget, Anzhelika Mezina:
Deep Learning-based Classification of Viruses Using Transmission Electron Microscopy Images. TSP 2022: 174-178 - [c80]Michal Cicatka, Radim Burget, Jan Karasek:
Machine-learning Approach to Microbial Colony Localisation. TSP 2022: 206-211 - [c79]Animesh Malviya, Neha Sengar, Malay Kishore Dutta, Radim Burget, Vojtech Myska:
Deep Learning Based Gastro Intestinal Disease Analysis Using Wireless Capsule Endoscopy Images. TSP 2022: 221-225 - [d1]Pavel Masek, Martin Stusek, Ekaterina Svertoka, Jan Pospisil, Radim Burget, Elena Simona Lohan, Ion Marghescu, Jiri Hosek, Aleksandr Ometov:
Supplementary Materials for "Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor". Zenodo, 2022
- 2021
- [j20]Justyna Skibinska, Radim Burget, Asma Channa, Nirvana Popescu, Yevgeni Koucheryavy:
COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques. IEEE Access 9: 119476-119491 (2021) - [j19]Anzhelika Mezina, Radim Burget, Carlos M. Travieso-González:
Network Anomaly Detection With Temporal Convolutional Network and U-Net Model. IEEE Access 9: 143608-143622 (2021) - [j18]Manoj Kaushik, Neeraj Baghel, Radim Burget, Carlos M. Travieso, Malay Kishore Dutta:
SLINet: Dysphasia detection in children using deep neural network. Biomed. Signal Process. Control. 68: 102798 (2021) - [j17]Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Gupta, Monisha Banerjee, Radim Burget, Malay Kishore Dutta:
Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach. Comput. Biol. Medicine 134: 104559 (2021) - [j16]Rakesh Chandra Joshi, Rashmi Mishra, Puneet Gandhi, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta:
Ensemble based machine learning approach for prediction of glioma and multi-grade classification. Comput. Biol. Medicine 137: 104829 (2021) - [j15]Ritesh Maurya, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta:
Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach. Comput. Biol. Medicine 137: 104862 (2021) - [j14]Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raul Casanova Marques, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, Elena Simona Lohan:
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Comput. Networks 193: 108074 (2021) - [j13]Pavel Masek, Martin Stusek, Ekaterina Svertoka, Jan Pospisil, Radim Burget, Elena Simona Lohan, Ion Marghescu, Jiri Hosek, Aleksandr Ometov:
Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor. Data 6(6): 62 (2021) - [j12]Soumaya Dghim, Carlos M. Travieso-González, Radim Burget:
Analysis of the Nosema Cells Identification for Microscopic Images. Sensors 21(9): 3068 (2021) - [j11]Ekaterina Svertoka, Salwa Saafi, Alexandru Rusu-Casandra, Radim Burget, Ion Marghescu, Jiri Hosek, Aleksandr Ometov:
Wearables for Industrial Work Safety: A Survey. Sensors 21(11): 3844 (2021) - [j10]Asma Channa, Nirvana Popescu, Justyna Skibinska, Radim Burget:
The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review. Sensors 21(17): 5787 (2021) - [c78]Justyna Skibinska, Radim Burget:
The Transferable Methodologies of Detection Sleep Disorders Thanks to the Actigraphy Device for Parkinson's Disease Detection. ICL-GNSS (Work in Progress) 2021 - [c77]Arnav Kumar, Rakesh Chandra Joshi, Malay Kishore Dutta, Martin Jonak, Radim Burget:
Fruit-CNN: An Efficient Deep learning-based Fruit Classification and Quality Assessment for Precision Agriculture. ICUMT 2021: 60-65 - [c76]Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak:
Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions. ICUMT 2021: 66-71 - [c75]Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. RRPR 2021: 146-151 - [c74]Shikha Rani, Anushka Chaurasia, Malay Kishore Dutta, Vojtech Myska, Radim Burget:
Machine learning approach for automatic lungs sound diagnosis from pulmonary signals. TSP 2021: 366-371 - [c73]Martin Kolarík, Radim Burget, Kamil Ríha, Karel Bartusek:
Suitability of CT and MRI Imaging for Automatic Spine Segmentation Using Deep Learning. TSP 2021: 390-393 - 2020
- [j9]Neeraj Baghel, Malay Kishore Dutta, Radim Burget:
Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network. Comput. Methods Programs Biomed. 197: 105750 (2020) - [j8]Tao Yang, Dongmei Fu, Jintao Meng, Jiqing Pan, Radim Burget:
Finding the optimal number of low dimension with locally linear embedding algorithm. J. Comput. Methods Sci. Eng. 20(4): 1163-1173 (2020) - [j7]Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal:
Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15747-15757 (2020) - [j6]Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal:
Correction to: Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15759 (2020) - [c72]Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. ICPR 2020: 6051-6058 - [c71]Justyna Skibinska, Radim Burget:
Parkinson's Disease Detection based on Changes of Emotions during Speech. ICUMT 2020: 124-130 - [c70]Neeraj Baghel, Divyanshu Singh, Malay Kishore Dutta, Radim Burget, Vojtech Myska:
Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. TSP 2020: 550-553 - [c69]Martin Kolarík, Radim Burget, Kamil Ríha:
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks. TSP 2020: 677-680 - [i4]Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. CoRR abs/2011.11557 (2020) - [i3]Martin Kolarík, Radim Burget, Kamil Ríha:
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks. CoRR abs/2011.11559 (2020)
2010 – 2019
- 2019
- [c68]Martin Kolarík, Radim Burget, Kamil Ríha:
Upsampling Algorithms for Autoencoder Segmentation Neural Networks: A Comparison Study. ICUMT 2019: 1-5 - [c67]Martin Rajnoha, Vojtech Mikulec, Radim Burget, Jiri Drazil:
A Perspective of the Noise Removal for Faster Neural Network Training. ICUMT 2019: 1-4 - [c66]Peter Brezany, Marketa Janatova, Olga Stepánková, Marek Lenart, Michael Edward, Miroslav Uller, Radim Burget:
Management of Physiological Data Streams within Brain Disorder Rehabilitation. MIPRO 2019: 381-386 - [c65]Vojtech Myska, Radim Burget, Lukas Povoda, Malay Kishore Dutta:
Linguistically independent sentiment analysis using convolutional-recurrent neural networks model. TSP 2019: 212-215 - [c64]Vojtech Myska, Radim Burget, Peter Brezany:
Graph neural network for website element detection. TSP 2019: 216-219 - [c63]Anam Fatima, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Jan Masek:
Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning. TSP 2019: 220-223 - [c62]Ankita Dwivedi, Ankit Kumar, Malay Kishore Dutta, Radim Burget, Vojtech Myska:
An Efficient and Robust Zero-Bit Watermarking Technique for Biometric Image Protection. TSP 2019: 236-240 - [c61]Areeba Irshad, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Václav Uher:
Feature Optimization for Run Time Analysis of Malware in Windows Operating System using Machine Learning Approach. TSP 2019: 255-260 - [c60]Karel Kuchar, Eva Holasova, Lukas Hrboticky, Martin Rajnoha, Radim Burget:
Supervised Learning in Multi-Agent Environments Using Inverse Point of View. TSP 2019: 625-628 - [c59]Martin Kolarík, Radim Burget, Václav Uher, Lukas Povoda:
Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network. TSP 2019: 643-646 - [i2]Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal:
Voice Pathology Detection Using Deep Learning: a Preliminary Study. CoRR abs/1907.05905 (2019) - [i1]Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal:
Towards Robust Voice Pathology Detection. CoRR abs/1907.06129 (2019) - 2018
- [c58]Martin Rajnoha, Radim Burget, Lukas Povoda:
Image Background Noise Impact on Convolutional Neural Network Training. ICUMT 2018: 1-4 - [c57]Martin Rajnoha, Jirí Mekyska, Radim Burget, Ilona Eliasova, Milena Kostalova, Irena Rektorová:
Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods. ICUMT 2018: 1-4 - [c56]Monika Arora, Malay Kishore Dutta, Carlos M. Travieso, Radim Burget:
Image Processing Based Classification of Enzymatic Browning in Chopped Apples. IWOBI 2018: 1-8 - [c55]Sayantan Bhattacharya, Jai Sehgal, Ashish Issac, Malay Kishore Dutta, Radim Burget, Martin Kolarík:
Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions. TSP 2018: 1-6 - [c54]Ashish Khatter, Akshat Browne, Anushikha Singh, Malay Kishore Dutta, Kamil Ríha, Radim Burget:
Generation of SVD Based Non-informative Unique ID for Authentication of MRI Images. TSP 2018: 1-5 - [c53]Martin Kolarík, Radim Burget, Václav Uher, Malay Kishore Dutta:
3D Dense-U-Net for MRI Brain Tissue Segmentation. TSP 2018: 1-4 - 2017
- [c52]Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal:
Voice Pathology Detection Using Deep Learning: a Preliminary Study. IWOBI 2017: 1-4 - [c51]Namita Sengar, Malay Kishore Dutta, Radim Burget, Martin Ranjoha:
Automated detection of suspected glaucoma in digital fundus images. TSP 2017: 749-752 - [c50]Mohan Mishra, Anushikha Singh, Malay Kishore Dutta, Radim Burget, Jan Masek:
Classification of normal and abnormal heart sounds for automatic diagnosis. TSP 2017: 753-757 - [c49]Martin Rajnoha, Radim Burget, Malay Kishore Dutta:
Handwriting comenia script recognition with convolutional neural network. TSP 2017: 775-779 - 2016
- [j5]Anushikha Singh, Malay Kishore Dutta, M. Partha Sarathi, Václav Uher, Radim Burget:
Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image. Comput. Methods Programs Biomed. 124: 108-120 (2016) - [j4]Malay Kishore Dutta, Anushikha Singh, Radim Burget:
Digital ownership tags based on biometric features of iris and fingerprint for content protection and ownership of digital images and audio signals. Multim. Tools Appl. 75(23): 16287-16313 (2016) - [c48]Arpit Bansal, Aashwin Vats, Akshita Jain, Malay Kishore Dutta, Radim Burget, Jiri Prinosil:
An efficient automatic intensity based method for detection of macula in retinal images. TSP 2016: 507-510 - [c47]Anushikha Singh, Namrata Raghuvanshi, Malay Kishore Dutta, Radim Burget, Jan Masek:
An SVD based zero watermarking scheme for authentication of medical images for tele-medicine applications. TSP 2016: 511-514 - [c46]Arashdeep Kaur, Malay Kishore Dutta, Radim Burget, Kamil Ríha:
A heuristic algorithmic approach to challenging robustness of digital audio watermarking using discrete wavelet transform. TSP 2016: 519-522 - [c45]Debashree Kashyap, Abhishek Somani, Jatin Shekhar, Anupama Bhan, Malay Kishore Dutta, Radim Burget, Kamil Ríha:
Cervical cancer detection and classification using Independent Level sets and multi SVMs. TSP 2016: 523-528 - [c44]Namita Sengar, Neeraj Mishra, Malay Kishore Dutta, Jiri Prinosil, Radim Burget:
Grading of colorectal cancer using histology images. TSP 2016: 529-532 - [c43]Garima Mehta, Malay Kishore Dutta, Radim Burget, Lukas Povoda:
Biometric data security using Fractional Fourier Transform and chaotic theory. TSP 2016: 533-537 - [c42]Aman Pandey, Ritu Chandra, Malay Kishore Dutta, Radim Burget, Václav Uher, Jirí Minár:
Automatic detection of red lesions in Diabetic Retinopathy using Shape based extraction technique in fundus image. TSP 2016: 538-542 - [c41]Lukas Povoda, Radim Burget, Malay Kishore Dutta:
Sentiment analysis based on Support Vector Machine and Big Data. TSP 2016: 543-545 - 2015
- [c40]Lukas Povoda, Akshaj Arora, Sahitya Singh, Radim Burget, Malay Kishore Dutta:
Emotion recognition from helpdesk messages. ICUMT 2015: 310-313 - [c39]Václav Uher, Radim Burget, Malay Kishore Dutta, Petr Mlynek:
Forecasting electricity consumption in Czech Republic. TSP 2015: 262-265 - [c38]Namita Sengar, Malay Kishore Dutta, Radim Burget, Lukas Povoda:
Detection of diabetic macular edema in retinal images using a region based method. TSP 2015: 412-415 - [c37]Ayushi Agarwal, Shradha Gulia, Somal Chaudhary, Malay Kishore Dutta, Radim Burget, Kamil Ríha:
Automatic glaucoma detection using adaptive threshold based technique in fundus image. TSP 2015: 416-420 - [c36]Anushikha Singh, Malay Kishore Dutta, Radim Burget, Jan Masek:
Identification of acrylamide in fried potato crisps using image processing in wavelet domain. TSP 2015: 545-549 - [c35]Garima Mehta, Malay Kishore Dutta, Radim Burget, Václav Uher:
Edge based block wise selective fingerprint image encryption using chaos. TSP 2015: 555-559 - [c34]Malay Kishore Dutta, Shaumik Ganguly, Kshitij Srivastava, Shaunak Ganguly, M. Parthasarathi, Radim Burget, Jan Masek:
An efficient grading algorithm for non-proliferative diabetic retinopathy using region based detection. TSP 2015: 743-747 - [c33]Malay Kishore Dutta, Kshitij Srivastava, Shaunak Ganguly, Shaumik Ganguly, M. Parthasarathi, Radim Burget, Jiri Prinosil:
Exudates detection in digital fundus image using edge based method & strategic thresholding. TSP 2015: 748-752 - [c32]Jan Karasek, Radim Burget, Václav Uher, Jan Masek, Malay Kishore Dutta:
Color image (dis)similarity assessment and grouping based on dominant colors. TSP 2015: 756-759 - [c31]Pavel Novák, Radim Burget, Jan Karasek, Malay Kishore Dutta:
Single template object detector based on histogram of oriented gradients. TSP 2015: 760-763 - [c30]Jan Masek, Radim Burget, Jan Karasek, Václav Uher, Malay Kishore Dutta:
Multi-GPU implementation of k-nearest neighbor algorithm. TSP 2015: 764-767 - [c29]Mangipudi Partha Sarathi, Mohammed Ahmed Ansari, Malay Kishore Dutta, Radim Burget, Kamil Ríha:
2D Brain slice retrieval from Brain MR images using feature point maps. TSP 2015: 772-775 - [c28]Malay Kishore Dutta, Anushikha Singh, Abhilasha Singh, Radim Burget, Jiri Prinosil:
Digital identification tags for medical fundus images for tele-ophthalmology applications. TSP 2015: 781-784 - 2014
- [c27]Jan Karasek, Radim Burget, Lukas Povoda:
Logistic Warehouse Process Optimization Through Genetic Programming Algorithm. CSOC 2014: 29-40 - 2013
- [j3]Radek Benes, Jan Karasek, Radim Burget, Kamil Ríha:
Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images. Comput. Methods Programs Biomed. 109(1): 92-103 (2013) - [c26]Jan Masek, Radim Burget, Václav Uher:
IMMI: Interactive Segmentation Toolkit. EANN (1) 2013: 380-387 - [c25]Malay Kishore Dutta, Anushikha Singh, Krishan Mohan Soni, Radim Burget, Kamil Ríha:
Watermarking of digital media with encrypted biometric features for digital ownership. IC3 2013: 108-112 - [c24]Jan Karasek, Radim Burget, Václav Uher, Malay Kishore Dutta, Yogesh Kumar:
Optimization of logistic distribution centers process planning and scheduling. IC3 2013: 343-348 - [c23]Jan Mikulka, Radim Burget, Kamil Ríha:
Methods for the evaluation of quality in machine processing of biomedical images. TSP 2013: 537-540 - [c22]Jan Mikulka, Radim Burget, Kamil Ríha, Eva Gescheidtova:
Segmentation of brain tumor parts in magnetic resonance images. TSP 2013: 565-568 - [c21]Jan Masek, Radim Burget, Jan Karasek, Václav Uher, Selda Guney:
Evolutionary improved object detector for ultrasound images. TSP 2013: 586-590 - [c20]Mangipudi Partha Sarathi, Mohammed Ahmed Ansari, Václav Uher, Radim Burget, Malay Kishore Dutta:
Automated Brain Tumor segmentation using novel feature point detector and seeded region growing. TSP 2013: 648-652 - [c19]Malay Kishore Dutta, Anushikha Singh, Radim Burget, Hicham Atassi, Ankur Choudhary, Krishan Mohan Soni:
Generation of biometric based unique digital watermark from iris image. TSP 2013: 685-689 - [c18]Malay Kishore Dutta, Anushikha Singh, Krishan Mohan Soni, Radim Burget, Kamil Ríha:
Watermark generation from fingerprint features for digital right management control. TSP 2013: 717-721 - [c17]Radim Burget, Jaynandra Kumar Rai, Václav Uher, Jan Masek, Malay Kishore Dutta:
Supervised video scene segmentation using similarity measures. TSP 2013: 793-797 - [c16]Jan Masek, Radim Burget, Václav Uher, Selda Guney:
Speeding up Viola-Jones algorithm using multi-Core GPU implementation. TSP 2013: 808-812 - [c15]Václav Uher, Radim Burget, Jan Masek, Malay Kishore Dutta:
3D brain tissue selection and segmentation from MRI. TSP 2013: 839-842 - [c14]Jan Karasek, Radim Burget, Jan Masek, Ondrej Benda:
Genetic programming based classifier in Viola-Jones RapidMiner Image Mining Extension. TSP 2013: 872-876 - 2012
- [j2]Radim Burget, Dan Komosny, Kathiravelu Ganeshan:
Topology aware feedback transmission for real-time control protocol. J. Netw. Comput. Appl. 35(2): 723-730 (2012) - [c13]Václav Uher, Radim Burget:
Automatic 3D segmentation of human brain images using data-mining techniques. TSP 2012: 578-580 - 2011
- [j1]Patrik Moravek, Dan Komosny, Radim Burget, Jaroslav Sveda, Tomas Handl, Lucie Jarosova:
Study and performance of localization methods in IP based networks: Vivaldi algorithm. J. Netw. Comput. Appl. 34(1): 351-367 (2011) - [c12]Jan Karasek, Radim Burget, Ondrej Morsky:
Towards an automatic design of non-cryptographic hash function. TSP 2011: 19-23 - [c11]Radim Burget, Petr Cika, Martin Zukal, Jan Masek:
Automated localization of Temporomandibular Joint Disc in MRI images. TSP 2011: 413-416 - [c10]Xintao Qiu, Dongmei Fu, Zhenduo Fu, Kamil Ríha, Radim Burget:
The method for material corrosion modelling and feature selection with SVM-RFE. TSP 2011: 443-447 - [c9]Dongmei Fu, Tao Yang, Xintao Qiu, Kamil Ríha, Radim Burget:
A novel immune image template set for fuzzy image segmentation and its application research. TSP 2011: 544-548 - [c8]Martin Zukal, Petr Cika, Radim Burget:
Evaluation of interest point detectors for scenes with changing lightening conditions. TSP 2011: 579-583
2000 – 2009
- 2009
- [c7]Milan Simek, Dan Komosny, Radim Burget, Patrik Moravek, Ricardo M. Silva:
Centralized boundary discovery algorithms for anchor-free localization in wireless sensor networks. ICUMT 2009: 1-7 - 2008
- [c6]Milan Simek, Dan Komosny, Radim Burget, Ricardo M. Silva, Jorge Sá Silva:
Efficient Self-Localization and Data Gathering Architecture for Wireless Sensor Networks. TeNe 2008: 343-348 - [c5]Radim Burget, Dan Komosny, Vit Novotny:
Integration of Host Position Prediction into Hierarchical Aggregation. ICN 2008: 740-745 - [c4]Dan Komosny, Kathiravelu Ganeshan, Mojmir Jelinek, Radim Burget:
Scalability Issues with the Hierarchical Feedback Aggregation for Large-Scale IPTV Systems. INC 2008: 15-26 - 2007
- [c3]Radim Burget, Dan Komosny, Milan Simek:
Simulation of Large-Scale IPTV Systems for Fixed and Mobile Networks. PWC 2007: 445-455 - [c2]Dan Komosny, Radim Burget:
Multicast Feedback Control Protocol for Hierarchical Aggregation in Fixed and Mobile Networks. PWC 2007: 456-467 - [c1]Milan Simek, Radim Burget, Dan Komosny:
Experiences of Any Source and Source Specific Multicast Implementation in Experimental Network. PWC 2007: 468-476
Coauthor Index
[j27] [j25] [j24] [c98] [c97] [c96] [c95] [c93] [c92] [j23] [j22] [j21] [c83] [c82] [c81] [c79] [j18] [j17] [j16] [j15] [c77] [c74] [j9] [c70] [c65] [c63] [c62] [c61] [c56] [c55] [c54] [c53] [c51] [c50] [c49] [j5] [j4] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c25] [c24] [c20] [c19] [c18] [c17] [c15]
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