MIDL 2021

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

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Z
Zhang J., Li C., Rahaman M.M., Yao Y., Ma P., Zhang J., Zhao X., Jiang T., Grzegorzek M.
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
Artificial Intelligence Review, Springer, 2021
Zhang J., Li C., Kosov S., Grzegorzek M., Shirahama K., Jiang T., Sun C., Li Z., Li H.
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
Pattern Recognition, Elsevier, 115, 2021
Y
Yang C., Flak O., Grzegorzek M.
Representation and Matching of Team Managers: An Experimental Research
IEEE Transactions on Computational Social Systems, 5, 2, 311-323, 2018
Yang C., Indurkhya B., See J., Grzegorzek M.
Towards Automatic Skeleton Extraction with Skeleton Grafting
IEEE Transactions on Visualization and Computer Graphics, 1, 2020
W
Walter J., Liebenow L., Hoffmann R., Grzegorzek M.
Detecting behavioral changes of an individual using a Random Forest classifier on floor sensor data
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, 203-206, 2022
T
Trzepacz M., Łagodziński P., Grzegorzek M. (eds.)
Electrooculography Application in Vision Therapy Using Smart Glasses
7th International Conference on Information Technologies in Biomedicine (ITIB 2019), Springer, Kamień Śląski, Poland, 2019
Trense C., Piet A., Huang X., Grzegorzek M.
Comparison of Data Augmentation Techniques for PhenotypeData of Parkinson’s Patients
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, 207-210, 2022
Takashima N., Li F., Grzegorzek M., Shirahama K.
Cross-modal Music Emotion Retrieval Using DeepCCA
In: 8th International Conference on Information Technologies in Biomedicine (ITIB 2020), Kamień Śląski, Poland, Springer, 2020
Tabatabaei S.A.H., Delforouzi A., Khan M.H., Wesener T., Grzegorzek M.
Automatic Detection of the Cracks on the Concrete Railway Sleepers
International Journal of Pattern Recognition and Artificial Intelligence, 33, 9, 2019
S
Stein A., Otte K., Röhling H.M., Li F., Nisar M.A., Grzegorzek M.
Segmentation of infants in depth data: Evaluation of thresholding approaches
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, 307-310, 2022
Seitzer C., Piet A., Schilling F., Grzegorzek M.
Improving the Usability of a User Interface for the Creation of PCR Test Specifications
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, 113-116, 2022
R
Ritter J., Schwarzmann M.D., Karstensen L., Grzegorzek M.
Comparison of deep reinforcement learning algorithms for Catheter-based interventions
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, 313-316, 2021
Raasch M., Grzegorzek M.
Automatic Nightmare Recognition Using Convolutional Neural Network
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, 187-190, 2022
P
Peifer C., Pollak A., Flak O., Pyszka A., Nisar M.A., Irshad M.T., Grzegorzek M., Kordyaka B., Kożusznik B.
The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion
Frontiers in Physiology, Frontiers Media, 12, 2021
N
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
Nalepa G., Grzegorzek M., Juarez J., Rauthmann J.
Special Issue on Multimodal Sensing for Understanding Behavior and Personality
Sensors (MDPI), MDPI, 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
L
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
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
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
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
K
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
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
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
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
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
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
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
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
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
I
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
Ilyas A., Farid M.S., Khan M.H., Grzegorzek M.
Exploiting Superpixels for Multi-Focus Image Fusion
Entropy, MDPI, 23, 2, 2021
H
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
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
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
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
G
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
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
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
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
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

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