MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

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A
Ai S., Li C., Li X., Jiang T., Grzegorzek M., Sun C., Rahaman M.M., Zhang J., Yao Y., Li H.
A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development
BioMed Research International, Hindawi, 2021
Alvi H.M.U.H., Farid M.S., Khan M.H., Grzegorzek M.
Quality Assessment of 3D Synthesized Images Based on Textural and Structural Distortion Estimation
Applied Sciences, MDPI, 11, 6, 2666, 2021
Amjad F., Khan M.H., Nisar M.A., Farid M.S., Grzegorzek M.
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data
Sensors, MDPI, 21, 7, 2368, 2021
B
Basso L., Oehler M., Grzegorzek M.
Breathing Rate Estimation during Sleep using Capacitive ECG Electrodes
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 211-214, 2021
Bullmann M., Fetzer T., Ebner F., Ebner M., Deinzer F., Grzegorzek M.
Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios
Sensors, MDPI, 20, 2020
Bullmann M., Fetzer T., Ebner F., Deinzer F., Grzegorzek M.
Fast Kernel Density Estimation Using Gaussian Filter Approximation
In: International Conference on Information Fusion (FUSION) 2018, Cambridge, United Kingdom, IEEE, 1233-1240, 2018
Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2021: 10th C. on Medical Engineering Science and 6th C. on Medical Informatics and 4th C. on Biomedical Engineering and 3rd C. on Auditory Technology and 1st C. on Biophysics and 1st C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2021
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2020: 9th Conference on Medical Engineering Science and 5th Conference on Medical Informatics and 3rd Conference on Biomedical Engineering and 2nd Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2020
Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2022: 11th C. on Medical Engineering Science and 7th C. on Medical Informatics and 5th C. on Biomedical Engineering and 4th C. on Auditory Technology and 2nd C. on Biophysics and 2nd C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2022
C
Chlebusch A., Grzegorzek M.
Extended Ventilation Test Framework to Compare Different Ventilation Prototypes
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 133-136, 2022
D
Delforouzi A., Holighaus D., Grzegorzek M.
Deep Learning for Object Tracking in 360 Degree Videos
In: 11th International Conference on Computer Recognition Systems (CORES 2019), Polanica-Zdrój, Poland, Progress in Computer Recognition Systems, Springer, 205-213, 2019
Delforouzi A., Tabatabaei S.A.H., Shirahama K., Grzegorzek M.
A Polar Model for Fast Object Tracking in 360-Degree Camera Images
Multimedia Tools and Applications, 78, 7, 9275-9297, 2019
Delforouzi A., Pamarthi B., Grzegorzek M.
Training-Based Methods for Comparison of Object Detection Methods for Visual Object Tracking
Sensors, 18, 11, 3994, 2018
E
Ebner M., Fetzer T., Bullmann M., Deinzer F., Grzegorzek M.
Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand
Sensors, MDPI, 20, 22, 2020
F
Fetzer T., Ebner F., Bullmann M., Deinzer F., Grzegorzek M.
Smartphone-Based Indoor Localization within a 13th Century Historic Building
Sensors, 18, 12, 2018
G
Gouverneur P., Li F., Adamczyk W., Szikszay T., Lüdtke K., Grzegorzek M.
Comparison of Feature Extraction Methods for Physiological Signals for Heat-based Pain Recognition
Sensors, MDPI, 21, 2021
Gouverneur P., Li F., Szikszay T., Adamczyk W., Grzegorzek M.
Classification of Heat-Induced Pain Using Physiological Signals
In: 8th International Conference on Information Technologies in Biomedicine (ITIB 2020), Kamień Śląski, Poland, Springer, 2020
Grünewald A., Li F., Kampling H., Krönert D., Pöhler J., Littau J., Schnieber K., Piet A., Niehaves B., Grzegorzek M. et al.
Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning
In: 18th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2018), Taichung, Taiwan, IEEE, 2018
Grzegorzek M., Gertych A., Aumayr G., Piętka E.
Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance.
Computers in biology and medicine, 95, 234-235, 2018
Grzegorzek M., Gertych A., Aumayr G., Piętka E.
Special Issue on Active and Assisted Living
Computers in Biology and Medicine, Elsevier, 95, 234-306, 2018
H
Henselmeyer S., Grzegorzek M.
Short-term Load Forecasting with Discrete State Hidden Markov Models
Journal of Intelligent & Fuzzy Systems, 38, 2, 2273-2284, 2020
Henselmeyer S., Grzegorzek M.
Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training
Applied Sciences, MDPI, 11, 2021
Hoffmann R., Brodowski H., Steinhage A., Grzegorzek M.
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks
Sensors, MDPI, 21, 4, 1086, 2021
Hozhabr Pour H., Wegmeth L., Kordes A., Grzegorzek M., Wismüller R. (eds.)
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
11th International Conference on Computer Recognition Systems (CORES 2019), Springer, Polanica-Zdrój, Poland, 2019
Huang X., Shirahama K., Li F., Grzegorzek M.
Sleep stage classification for child patients using DeConvolutional Neural Network
Artificial Intelligence in Medicine, 110, 101981, 2020
I
Ilyas A., Farid M.S., Khan M.H., Grzegorzek M.
Exploiting Superpixels for Multi-Focus Image Fusion
Entropy, MDPI, 23, 2, 2021
Irshad M.T., Nisar M.A., Gouverneur P., Rapp M., Grzegorzek M.
AI Approaches towards Prechtl’s Assessment of General Movements: A Systematic Literature Review
Sensors, 20, 18, 5321, 2020
K
Kasten M., Li F., Hunag X., Grzegorzek M.
Analysis of the Relevance of Physiological Signals for Sleep Stage Classification using Deep Neural Networks
In: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Berlin, Germany, 2020
Khan M.H., Zöller M., Farid M.S., Grzegorzek M.
Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure
Sensors, 20, 11, 3312, 2020
Khan M.H., Farid M.S., Grzegorzek M.
Spatiotemporal features of human motion for gait recognition
Signal, Image and Video Processing, 2018
Khan M.H., Farid M.S., Grzegorzek M.
Spatiotemporal Features of Human Motion for Gait Recognition
Signal, Image and Video Processing, 13, 2, 369-377, 2019
Khan M.H., Farid M.S., Grzegorzek M.
Using a generic model for codebook-based gait recognition algorithms
In: International Workshop on Biometrics and Forensics (IWBF) 2018, Sassari, Italy, IEEE, 1-7, 2018
Khan M.H., Farid M.S., Grzegorzek M.
A Non-linear View Transformations Model for Cross-view Gait Recognition
Neurocomputing, 402, 100-111, 2020
Khan M.H., Farid M.S., Grzegorzek M.
Vision-based Approaches towards Person Identification Using Gait
Computer Science Review, Elsevier, 42, 2021
Khan M.H., Schneider M., Farid M.S., Grzegorzek M.
Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model.
Sensors (Basel, Switzerland), 18, 10, 2018
Abstract
Khan M.H., Helsper J., Farid M.S., Grzegorzek M.
A computer vision-based system for monitoring Vojta therapy.
International journal of medical informatics, 113, 85-95, 2018
Abstract
Khan M.H., Farid M.S., Zahoor M., Grzegorzek M.
Cross- View Gait Recognition Using Non-Linear View Transformations of Spatiotemporal Features
In: 25th IEEE International Conference on Image Processing (ICIP) 2018, Athens, Greece, IEEE, 773-777, 2018
Klein D., Witt O., Grzegorzek M.
Detection of glycemic abnormalities based on continuous glucose measurements
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 155-158, 2021
Köping L., Shirahama K., Grzegorzek M.
A general framework for sensor-based human activity recognition.
Computers in biology and medicine, 95, 248-260, 2018
Abstract
Kosov S., Shirahama K., Li C., Grzegorzek M.
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Pattern Recognition, 77, 248-261, 2018
Kosov S., Shirahama K., Grzegorzek M.
Labeling of Partially Occluded Regions via the Multi-Layer CRF
Multimedia Tools and Applications, 78, 2, 2551-2569, 2019
Kowalewska N., Łagodziński P., Grzegorzek M. (eds.)
Electromyography-based Translator of the Polish Sign Language
7th International Conference on Information Technologies in Biomedicine (ITIB 2019), Springer, Kamień Śląski, Poland, 2019
Krönert D., Grünewald A., Li F., Grzegorzek M., Brück R.
Sensor Headband for Emotion Recognition in a Virtual Reality Environment
In: 6th International Conference on Information Technologies in Biomedicine (ITIB 2018), Kamień Śląski, Poland, Springer, 539-548, 2018
L
Lagodzinski P., Shirahama K., Grzegorzek M.
Codebook-based electrooculography data analysis towards cognitive activity recognition.
Computers in biology and medicine, 95, 277-287, 2018
Abstract
Li F., Shirahama K., Nisar M.A., Huang X., Grzegorzek M.
Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
Sensors, 20, 15, 4271, 2020
Li F., Shirahama K., Nisar M.A., Köping L., Grzegorzek M.
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors (Basel, Switzerland), 18, 2, 2018
Abstract
Liebenow L., Twesten C., Grzegorzek M.
Transforming Nutrition Databases Towards Semantically Consistent Content Classification
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 147-150, 2020
M
Maqsood A., Farid M.S., Khan M.H., Grzegorzek M.
Deep Malaria Parasite Detection in Thin Blood Smear Microscopic Images
Applied Sciences, MDPI, 114, 5, 2284, 2021
N
Nalepa G., Grzegorzek M., Juarez J., Rauthmann J.
Special Issue on Multimodal Sensing for Understanding Behavior and Personality
Sensors (MDPI), MDPI, 2020
Nisar M.A., Shirahama K., Li F., Huang X., Grzegorzek M.
Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition
Sensors, 20, 12, 3463, 2020

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