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Monika Pytlarz
Observed names:
M Pytlarz,
M. Pytlarz,
Monika PYTLARZ,
Pytlarz, Monika
Institution:
Children's Hospital of Philadelphia
Observed institutions:
Jagiellonian University,
Children's Hospital of Philadelphia,
Sano – Centre for Computational Personalised Medicine International Research Foundation
ORCID:
0000-0001-5319-1769
Observed ORCID:
0000-0001-5319-1769
OpenAlex ID:
A5042829685
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2023
·
Spyridon Bakas
, Alessandro Crimi
, et al.
·
Lecture notes in computer science
·
11
Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
2024
·
M. Pytlarz
, K. Wojnicki
, et al.
·
Journal of Imaging Informatics in Medicine
·
9
PDF
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2023
·
Spyridon Bakas
, Alessandro Crimi
, et al.
·
Lecture notes in computer science
·
4
A survey on electromagnetic hypersensitivity: the example from Poland
2021
·
Grzegorz Tatoń
, Artur Kacprzyk
, et al.
·
Electromagnetic Biology and Medicine
·
3
Os02.6.a Miccai Brain Tumor Segmentation - Metastases (brats-mets) 2025 Lighthouse Challenge: Competitive Environment for the Development of Robust Automatic Segmentation Algorithms for Pre- and Post-treatment Brain Metastases
2025
·
N Y Yordanov
, N Maleki
, et al.
·
Neuro-Oncology
·
1
PDF
Artificial intelligence and machine learning algorithms in diagnosis and therapy of the ankle joint
2024
·
Piotr D. GABRYŚ
, Monika PYTLARZ
, et al.
·
The Journal of Sports Medicine and Physical Fitness
·
1
Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for “Green” Fetal Brain Segmentation
2024
·
Szymon Mazurek
, Monika Pytlarz
, et al.
·
Lecture notes in computer science
·
1
Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings
2023
·
Monika Pytlarz
, Adrian Onicas
, et al.
·
Proceedings - International Conference on Image Processing
·
1
PDF
Taking Advantage of MONAI and DiNTS Frameworks to Develop a State-of-the-Art Algorithm for Automatic Segmentation of Brain Metastases
2026
·
Fabian Umeh
, Nikolay Y. Yordanov
, et al.
·
Lecture notes in computer science
When ground truths disagree : human-variability-aware uncertainty and explainability for trustworthy oncology segmentation
2026
·
Pytlarz, Monika
, Umeh, Fabian
, et al.
·
Jagiellonian University Repository (Jagiellonian University)
Correction to: Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
2024
·
M. Pytlarz
, K. Wojnicki
, et al.
·
Journal of Imaging Informatics in Medicine
PDF
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
2024
·
Mazurek, Szymon
, Pytlarz, Monika
, et al.
·
arXiv (Cornell University)
PDF
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
2024
·
Szymon Mazurek
, Monika Pytlarz
, et al.
·
SSRN Electronic Journal
Automated glioma multiclass tumor classification
2023
·
Monika Pytlarz
, Kamil Wojnicki
, et al.
·
SPIE Medical Imaging: Digital and Computational Pathology
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Works count:
18
Citation count:
31
H-index:
3
I10-index:
1
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