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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics
Cancers 13, 1249
Journal Article
D. Krajnc, L. Papp, T. S. Nakuz, H. F. Magometschnigg, M. Grahovac, C. P. Spielvogel, B. Ecsedi, Z. Bago-Horvath, A. Haug, G. Karanikas, T. Beyer, M. Hacker, T. H. Helbich, K. Pinker
Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI
European Journal of Nuclear Medicine and Molecular Imaging 48, 1795-1805
Journal Article
L. Papp, C. P. Spielvogel, B. Grubmuller, M. Grahovac, D. Krajnc, B. Ecsedi, R. A.M. Sareshgi, D. Mohamad, M. Hamboeck, I. Rausch, M. Mitterhauser, W. Wadsak, A. R. Haug, L. Kenner, P. Mazal, M. Susani, S. Hartenbach, P. Baltzer, T. H. Helbich, G. Kramer, S.F. Shariat, T. Beyer, M. Hartenbach, M. Hacker
Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma
European Radiology 32, 7056-7067
Journal Article
M. Zhao, K. Kluge, L. Papp, M. Grahovac, S. Yang, C. Jiang, D. Krajnc, C. Spielvogel, B. Ecsedi, A. Haug, S. Wang, M. Hacker, W. Zhang, X. Li
Automated data preparation for in vivo tumor characterization with machine learning
Frontiers in Oncology 12, 1017911
Journal Article
D. Krajnc, C. P. Spielvogel, M. Grahovac, B. Ecsedi, S. Rasul, N. Poetsch, T. Traub-Weidinger, A. R. Haug, Z. Ritter, H. Alizadeh, M. Hacker, T. Beyer, L. Papp
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
Neural Networks 167, 517-532
Journal Article
Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens P. Spielvogel, Denis Krajnc, Marko Grahovac, Sasan Moradi, Wolfgang Drexler
Download Paper
Sex-specific radiomic features of L-[S-methyl-11C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability
Frontiers in Oncology 13, 986788
Journal Article
L. Papp, S. Rasul, C. P. Spielvogel, D. Krajnc, N. Poetsch, A. Woehrer, E-M. Patronas, B. Ecsedi, J. Furtner, M. Mitterhauser, I. Rausch, G. Widhalm, T. Beyer, M. Hacker, T. Traub-Weidinger
Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts
European Journal of Nuclear Medicine and Molecular Imaging
Journal Article
M. Grahovac, C. P. Spielvogel, D. Krajnc, B. Ecsedi, T. Traub-Weidinger, S. Rasul, K. Kluge, M. Zhao, X. Li, M. Hacker, A. Haug, L. Papp
DEBI-NN: Distance-Encoding Biomorphic-Informational Neural Networks in Medical Applications
AI+Science Summer School, University of Chicago Data Science Institute & IMSI - Poster
Poster
B. Ecsedi
DEBI-NN: Distance-Encoding Biomorphic-Informational Neural Networks in PET Radiomics
36th Annual Congress of the European Association of Nuclear Medicine (EANM), Vienna, Austria - Oral
Oral
B. Ecsedi, D. Haberl, C. P. Spielvogel, T. Traub-Weidinger, M. Hacker, L. Papp
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
The Twelfth International Conference on Learning Representations (ICLR 2024) - Poster
Poster
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
Download Paper
Incremental Role of Radiomics and Artificial Intelligence
Advanced Imaging and Therapy in Neuro-Oncology 161-172, Springer Nature Switzerland
Book chapter
L. Papp, C. Spielvogel, D. Haberl, B. Ecsedi
DEBI-NN Architecture Evaluation: Implications of Dataset Imbalance and Spatial Dropout on Performance
37th Annual Congress of the European Association of Nuclear Medicine (EANM) - Oral
Oral
A. Boukhari, B. Ecsedi, D. Haberl, C. Spielvogel, M. Hatt, L. Papp
In the search of optimal hyperparameter and network configurations of the novel DEBI-NN neural network for increased generalizability in small medical datasets
37th Annual Congress of the European Association of Nuclear Medicine (EANM) - Oral
Oral
B. Ecsedi, A. Boukhari, D. Haberl, C. Spielvogel, Zs. Ritter, H. Alizadeh, M. Hatt, L. Papp
Imaging Tumor Metabolism and Its Heterogeneity: Special Focus on Radiomics and AI
Interdisciplinary Cancer Research 1-26, Springer
Book chapter
L. Papp, D. Haberl, B. Ecsedi, M. Hatt, E. Lopci
Clinician-driven automated data preprocessing in nuclear medicine AI environments
European Journal of Nuclear Medicine and Molecular Imaging
Journal Article
D. Krajnc, C. Spielvogel, B. Ecsedi, Zs. Ritter, H. Alizadeh, M. Hacker, L. Papp
Model merging with SVD to Tie the KnOTS
The Thirteenth International Conference on Learning Representations (ICLR 2025) - Poster
Poster
George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
Download Paper
Scaling Laws in Model Merging: Investigating the Scaling Behavior of Merging LoRA Models
Georgia Institute of Technology, BSc Thesis (PURA Award)
BSc Thesis
Boglarka Ecsedi
Download Paper
Impact of Regularization in Optimizing Distance-Encoding Biomorphic-Informational Neural Networks for Small Nuclear Medicine Datasets
EANM Innovation, 100008
Journal article
B. Ecsedi, A. Boukhari, C.P. Spielvogel, D. Haberl, Zs. Ritter, R.A. Bundschuh, C. Lapa, M. Hacker, M. Hatt, L. Papp
Genetic Algorithm vs. Gradient Descent for Training a Neural Network Architecture Dedicated to Low Data Regimes in Small Medical Datasets
Journal Article (in review)
Journal Article (in review)
A. Boukhari, B. Ecsedi, L. Papp, M. Hatt
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.