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ORCIDDaria Hemmerling
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- affiliation: AGH University of Science and Technology, Krakow, Poland
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Journal Articles
- 2024
[j6]Marek Wodzinski
, Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling:
Improving deep learning-based automatic cranial defect reconstruction by heavy data augmentation: From image registration to latent diffusion models. Comput. Biol. Medicine 182: 109129 (2024)- [j5]Naroa Iriarte, Iñigo Fermín Ezcurdia, Sonia Elizondo, Josu Irisarri, Daria Hemmerling, Amalia Ortiz, Asier Marzo:
Contactless Electrostatic Piloerection for Haptic Sensations. IEEE Trans. Haptics 17(2): 140-151 (2024) - 2023
- [j4]Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - 2022
- [j3]Marek Wodzinski, Mateusz Daniol, Miroslaw Socha, Daria Hemmerling, Maciej Stanuch, Andrzej Skalski:
Deep learning-based framework for automatic cranial defect reconstruction and implant modeling. Comput. Methods Programs Biomed. 226: 107173 (2022) - 2021
- [j2]Damian Kwasny, Daria Hemmerling:
Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks. Sensors 21(14): 4785 (2021) - 2016
- [j1]Daria Hemmerling, Andrzej Skalski, Janusz Gajda:
Voice data mining for laryngeal pathology assessment. Comput. Biol. Medicine 69: 270-276 (2016)
Conference and Workshop Papers
- 2024
- [c17]Daria Hemmerling, Mateusz Daniol, Marek Wodzinski, Joanna Stepien, Pawel Jemiolo, Marta Kaczmarska, Jakub Kaminski, Magdalena Wójcik-Pedziwiatr:
Augmented Reality Platform for Neurological Evaluations. INI-DH@AVI 2024: 43-47 - [c16]Michal Romak, Magdalena Igras-Cybulska, Daria Hemmerling, Daniela Hekiert:
EthnoVR 3.0: Fostering Ethnocultural Empathy and Mitigating Ethnocentrism through Immersive Virtual Environments and Virtual Reality Perspective Taking. VR Workshops 2024: 297-299 - [c15]Tomasz Skrzek, Filip Malawski, Slawomir Konrad Tadeja, Daniela Hekiert, Daria Hemmerling, Magdalena Igras-Cybulska:
Automatic Recognition of Gesture Qualities in Speech Delivery in VR-Work-in-Progress. VR Workshops 2024: 624-627 - [c14]Daria Hemmerling, Pawel Jemiolo, Mateusz Daniol, Marek Wodzinski, Jakub Kaminski, Magdalena Wójcik-Pedziwiatr:
Multimodal Approach for the Diagnosis of Neurodegenerative Disorders Using Augmented Reality. VR Workshops 2024: 1166-1167 - [c13]Olha Terendii, Sam Frish, Tymur Prokopiev, Daria Hemmerling, Tomasz Jadczyk, Mateusz Janusz:
Touch My Heart: Navigating the Heart Models in MR with Haptic Feedback, 3D Sound, and Interactive Gamification. VR Workshops 2024: 1190-1191 - 2023
- [c12]Sean Chew, Tor-Salve Dalsgaard, Martin Maunsbach, Hasti Seifi, Joanna Bergström, Kasper Hornbæk, Josu Irisarri, Iñigo Fermín Ezcurdia, Naroa Iriarte, Asier Marzo, William Frier, Orestis Georgiou, Anna Sheremetieva, Kamil Kwarciak, Maciej Stroinski, Daria Joanna Hemmerling, Mykola Maksymenko, Antonio Cataldo, Marianna Obrist, Patrick Haggard, Sriram Subramanian:
TOUCHLESS: Demonstrations of Contactless Haptics for Affective Touch. CHI Extended Abstracts 2023: 475:1-475:5 - [c11]Daria Hemmerling, Marek Wodzinski, Juan Rafael Orozco-Arroyave, David Sztahó, Mateusz Daniol, Pawel Jemiolo, Magdalena Wójcik-Pedziwiatr:
Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings. EMBC 2023: 1-4 - [c10]Mateusz Kowalewski, Maciej Stroinski, Kamil Kwarciak, Volodymyr Laptiev, Daria Hemmerling:
End-to-end multimodal system for depression detection from online recordings. EMBC 2023: 1-4 - [c9]Daria Hemmerling, Magdalena Wójcik-Pedziwiatr, Pawel Jaciów, Bartosz Ziólko, Magdalena Igras-Cybulska:
Monitoring of Parkinson's Disease Progression based on Speech Signal. ICICT 2023: 132-137 - [c8]Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Miroslaw Socha:
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers. MICCAI (9) 2023: 333-343 - [c7]Maadalena loras-Cvbulska, Daniela Hekiert, Artur Cybulski, Slawomir Konrad Tadeja, Marcin Witkowski, Konrad Nakonieczny, Izabela Augustyn, Jan Jasinski, Daria Hemmerling, Tomasz Skrzek, Stanislaw Kacprzak, Magdalena Kaczorowska, Julia Juros, Marek Warzeszka, Ewa Migaczewska, Filip Malawski, Paulina Slomka, Rafal Salamon, Aleksandra Szumiec, Kinga Kornacka, Bartlomiej Blaszczynski, Katarzyna Blaszczynska, Radoslaw Sterna, Marek Makowiec, Magdalena Maidak:
Towards Multimodal VR Trainer of Voice Emission and Public Speaking -Work-in-Progress. VR Workshops 2023: 355-359 - 2022
- [c6]Daria Joanna Hemmerling, Maciej Stroinski, Kamil Kwarciak, Krzysztof Trusiak, Maciej Szymkowski, Weronika Celniak, William Frier, Orestis Georgiou, Mykola Maksymenko:
Touchless touch with biosignal transfer for online communication. ICMI 2022: 579-590 - 2021
- [c5]Marek Wodzinski, Mateusz Daniol, Daria Hemmerling:
Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets. AutoImplant@MICCAI 2021: 29-44 - 2019
- [c4]Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. EMBC 2019: 717-720 - 2018
- [c3]Massimo Pettorino, Daria Hemmerling, Marilisa Vitale, Anna De Meo:
Towards a Speech-Test for Parkinson's Disease Detection: a Diachronic Study on Michael J. Fox. TSP 2018: 1-5 - 2017
- [c2]Daria Hemmerling:
Voice pathology distinction using autoassociative neural networks. EUSIPCO 2017: 1844-1847 - 2016
- [c1]Daria Hemmerling, Juan Rafael Orozco-Arroyave, Andrzej Skalski, Janusz Gajda, Elmar Nöth:
Automatic Detection of Parkinson's Disease Based on Modulated Vowels. INTERSPEECH 2016: 1190-1194
Informal and Other Publications
- 2024
- [i7]Mateusz Daniol, Daria Hemmerling, Jakub Sikora, Pawel Jemiolo, Marek Wodzinski, Magdalena Wójcik-Pedziwiatr:
Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases. CoRR abs/2404.12984 (2024) - [i6]Marek Wodzinski, Daria Hemmerling, Mateusz Daniol:
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders. CoRR abs/2404.13106 (2024) - [i5]Marek Wodzinski, Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling:
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models. CoRR abs/2406.06372 (2024) - [i4]Kamil Kwarciak, Mateusz Daniol, Daria Hemmerling, Marek Wodzinski:
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation. CoRR abs/2410.13427 (2024) - 2023
- [i3]Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Miroslaw Socha:
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers. CoRR abs/2308.03813 (2023) - 2022
- [i2]Marek Wodzinski, Mateusz Daniol, Miroslaw Socha, Daria Hemmerling, Maciej Stanuch, Andrzej Skalski:
Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling. CoRR abs/2204.06310 (2022) - 2020
- [i1]Damian Kwasny, Daria Hemmerling:
Joint gender and age estimation based on speech signals using x-vectors and transfer learning. CoRR abs/2012.01551 (2020)
Coauthor Index
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