Jana Fragemann

Jana Fragemann

Doktorandin, Trustworthy Machine Learning

Institut für Künstliche Intelligenz in der Medizin

Jana ist Mathematikerin und absolvierte ihren Master an der Universität Duisburg-Essen. In ihrer Promotion am IKIM analysiert sie die Latent-Space-Repräsentationen überwachter und unüberwachter generativer Modelle für radiologische Daten. Ziel der Entflechtung des Latent Space ist es, Biomarker für onkologische Krankheitsverläufe zu identifizieren und Überlebensparameter von Patienten vorherzusagen.

Publikationen

2025

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque Rafique Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin Hendrik Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Ferreira Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Björn Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger, Zongwei Zhou, Jiancheng Yang, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Viet Duc Vu, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Heinrich Mächler, Thomas Küstner, Arcot Sowmya, Vincenzo Ferrari, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Timo van Meegdenburg, Zdravko Marinov, Paul F. Jäger, Rainer Stiefelhagen, Fabian Hörst, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Gregor Schiele, Ti-chiun Chang, Seyed-Ahmad Ahmadi, Thomas M. Deserno, Pascal Fua, Alan L. Yuille Biomedical Engineering / Biomedizinische Technik Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Jan Egger, Fin Hendrik Bahnsen, Saquib Sarfraz, Jens Kleesiek, Constantin Seibold, M. Saquib Sarfraz Machine Learning Methods in Visualisation for Big Data (EuroVis Workshop)

2024

Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data Frederic Jonske, Kevin Osthues, Amin Dada, Enrico Nasca, Jana Fragemann, Julian Alff, Oleh Bakumenko, Marcel Birnbach, Maxim Kondratenko, Lars Reinike, Benjamin Schulz, Fabian Siethoff, Tobias Simon, Joey Wang, Nils Zhang, Fin Hendrik Bahnsen, Jan Egger, Moon-Sung Kim, Maria Lymbery, Jens Kleesiek, Johannes Kraus Artificial Intelligence for Security: Enhancing Protection in a Changing World Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data Frederic Jonske, Kevin Osthues, Amin Dada, Enrico Nasca, Jana Fragemann, Julian Alff, Oleh Bakumenko, Marcel Birnbach, Maxim Kondratenko, Lars Reinike, Benjamin Schulz, Fabian Siethoff, Tobias Simon, Joey Wang, Nils Zhang, Fin Hendrik Bahnsen, Jan Egger, Moon-Sung Kim, Maria Lymbery, Jens Kleesiek, Johannes Kraus Artificial Intelligence for Security: Enhancing Protection in a Changing World

2023

Evaluation of thresholding methods for the quantifcation of 68Ga‑PSMA‑11 PET molecular tumor volume and their efect on survival prediction in patients with advanced prostate cancer undergoing 177Lu‑PSMA‑617 radioligand therapy Moon-Sung Kim, Robert Seifert, Jana Fragemann, David Kersting, Jacob M. Murray, Frederic Jonske, Kelsey L. Pomykala, Jan Egger, Wolfgang P. Fendler, Ken Herrmann, Jens Kleesiek European Journal of Nuclear Medicine and Molecular Imaging

2022

AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob M. Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek arXiv Training beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger arXiv Review of Disentanglement Approaches for Medical Applications: Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek, Mad Workshop