W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. - Lina Xu; Giles Tetteh; Mona Mustafa; Jana Lipková; Yu Zhao 009; Marie Bieth; Patrick Ferdinand Christ; Marie Piraud; Bjoern H. Menze; Kuangyu Shi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Multi-level Activation for Segmentation of Hierarchically-Nested Classes. - Marie Piraud; Anjany Sekuboyina; Björn H. Menze (ECCV Workshops (6), 2018)

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Bjoern H. Menze; Marie Piraud (BrainLes@MICCAI (2), 2018)

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. - Giles Tetteh; Velizar Efremov; Nils D. Forkert; Matthias Schneider 002; Jan Kirschke; Bruno Weber; Claus Zimmer; Marie Piraud; Bjoern H. Menze (CoRR, 2018)

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Marie Piraud (CoRR, 2018)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee. - Suprosanna Shit; Abinav Ravi Venkatakrishnan; Ivan Ezhov; Jana Lipková; Marie Piraud; Bjoern H. Menze (CoRR, 2019)

Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma. - Marie Piraud; Markus Wennmann; Laurent Kintzelé; Jens Hillengass; Ulrich Keller; Georg Langs; Marc-André Weber; Björn H. Menze (Medical Image Anal., 2019)

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. - Yu Zhao 009; Hongwei Li 004; Shaohua Wan 001; Anjany Sekuboyina; Xiaobin Hu; Giles Tetteh; Marie Piraud; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2019)

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. - Maximilian Möller; Matthias Kohl; Stefan Braunewell; Florian Kofler; Benedikt Wiestler; Jan S. Kirschke; Björn H. Menze; Marie Piraud (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning. - Christina Bukas; Bailiang Jian; Luis F. Rodriguez Venegas; Francesca De Benetti; Sebastian Ruehling; Anjany Sekuboyina; Jens Gempt; Jan S. Kirschke; Marie Piraud; Johannes Oberreuter; Nassir Navab; Thomas Wendler 001 (MICCAI (4), 2021)

A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers. - Sebastian Starke; Dominik Thalmeier; Peter Steinbach; Marie Piraud (HECKTOR@MICCAI, 2021)

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. - Suprosanna Shit; Ivan Ezhov; Leon Mächler; Abinav R.; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Marie Piraud; Bjoern H. Menze (CoRR, 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

Introduction to AI and its medical applications: Crash Course for an audience with diverse scientific backgrounds. - Donatella Cea; Helene Hoffmann; Marie Piraud (Teaching ML, 2022)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (BrainLes/SWITCH@MICCAI, 2023)

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. - Florian Kofler; Suprosanna Shit; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Rami Al-Maskari; Hongwei Bran Li; Harsharan Bhatia; Timo Loehr; Marie Piraud; Ali Ertürk; Jan Kirschke; et al. (IPMI, 2023)

Approaching Peak Ground Truth. - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (ISBI, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Florian Kofler; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Daniel Rueckert; Jan S. Kirschke; Marie Piraud; Bjoern H. Menze (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

Framing image registration as a landmark detection problem for better representation of clinical relevance. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; Florian Kofler; et al. (CoRR, 2023)

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps. - Florian Kofler; Hendrik Kristian Möller; Josef A. Buchner; Ezequiel de la Rosa; Ivan Ezhov; Marcel Rosier; Isra Mekki; Suprosanna Shit; Moritz Negwer; Rami Al-Maskari; Ali Ertürk; Shankeeth Vinayahalingam; et al. (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Providing AI expertise as an infrastructure in academia. - Marie Piraud; Andrés Camero; Markus Götz; Stefan Kesselheim; Peter Steinbach; Tobias Weigel (Patterns, 2023)

Reporting electricity consumption is essential for sustainable AI. - Charlotte Debus; Marie Piraud; Achim Streit; Fabian J. Theis; Markus Götz (Nat. Mac. Intell., 2023)

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. - Alicia Durrer; Julia Wolleb; Florentin Bieder; Paul Friedrich 002; Lester Melie-García; Mario Ocampo-Pineda; Cosmin I. Bercea; Ibrahim Ethem Hamamci; Benedikt Wiestler; Marie Piraud; Özgür Yaldizli; Cristina Granziera; et al. (DGM4MICCAI@MICCAI, 2024)

MultiOrg: A Multi-rater Organoid-detection Dataset. - Christina Bukas; Harshavardhan Subramanian; Fenja See; Carina Steinchen; Ivan Ezhov; Gowtham Boosarpu; Sara Asgharpour; Gerald Burgstaller; Mareike Lehmann; Florian Kofler; Marie Piraud (NeurIPS, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

OneProt: Towards Multi-Modal Protein Foundation Models. - Klemens Flöge; Srisruthi Udayakumar; Johanna Sommer; Marie Piraud; Stefan Kesselheim; Vincent Fortuin; Stephan Günnemann; Karel J. van der Weg; Holger Gohlke; Alina Bazarova; Erinc Merdivan (CoRR, 2024)

MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. - Till Siebenmorgen; Filipe Menezes; Sabrina Benassou; Erinc Merdivan; Kieran Didi; André Santos Dias Mourão; Radoslaw Kitel; Pietro Liò; Stefan Kesselheim; Marie Piraud; Fabian J. Theis; Michael Sattler; et al. (Nat. Comput. Sci., 2024)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)

Forest-Guided Clustering - Shedding Light into the Random Forest Black Box. - Lisa Barros de Andrade e Sousa; Gregor Miller; Ronan Le Gleut; Dominik Thalmeier; Helena Pelin; Marie Piraud (CoRR, 2025)

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset. - Arianna Piffer; Josef A. Buchner; Gennari Antonio Giulio; Patrice Grehten; S. Sirin; E. Ross; Ivan Ezhov; Marcel Rosier; Jan Peeken; Marie Piraud; Bjoern H. Menze; A. Guerreiro Stücklin; et al. (CoRR, 2025)

Preserving instance continuity and length in segmentation through connectivity-aware loss computation. - Karol Szustakowski; Luk Frank; Julia Esser; Jan Gründemann; Marie Piraud (CoRR, 2025)

DrugDiff: small molecule diffusion model with flexible guidance towards molecular properties. - Marie Oestreich; Erinc Merdivan; Michael Lee; Joachim L. Schultze; Marie Piraud; Matthias Becker 003 (J. Cheminformatics, 2025)