Attention-Driven Deep Learning for Pathological Spine Segmentation. - Anjany Sekuboyina; Jan Kukacka; Jan S. Kirschke; Bjoern H. Menze; Alexander Valentinitsch (MSKI@MICCAI, 2017)

A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets. - Anjany Sekuboyina; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (CoRR, 2017)

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

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. - Anjany Sekuboyina; Markus Rempfler; Jan Kukacka; Giles Tetteh; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (MICCAI (4), 2018)

Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. - Amirhossein Bayat; Anjany Sekuboyina; Felix Hofmann; Malek El Husseini; Jan S. Kirschke; Bjoern H. Menze (CSI@MICCAI, 2019)

Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. - Malek El Husseini; Anjany Sekuboyina; Amirhossein Bayat; Bjoern H. Menze; Maximilian Löffler; Jan S. Kirschke (CSI@MICCAI, 2019)

DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. - Hongwei Li 004; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jianguo Zhang 001; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze (MICCAI (4), 2019)

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Maximilian Löffler; Jan S. Kirschke; Bjoern H. Menze (MICCAI (6), 2019)

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. - Yu Zhao 009; Yuan Liu; Yansheng Kan; Anjany Sekuboyina; Diana Waldmannstetter; Hongwei Li 004; Xiaobin Hu; Xiaozhi Zhao; Kuangyu Shi; Bjoern H. Menze (MICCAI (6), 2019)

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)

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (CoRR, 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)

Inferring the 3D Standing Spine Posture from 2D Radiographs. - Amirhossein Bayat; Anjany Sekuboyina; Johannes C. Paetzold; Christian Payer; Darko Stern; Martin Urschler; Jan S. Kirschke; Bjoern H. Menze (MICCAI (6), 2020)

Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. - Malek El Husseini; Anjany Sekuboyina; Maximilian Löffler; Fernando Navarro; Bjoern H. Menze; Jan S. Kirschke (MICCAI (6), 2020)

Deep Reinforcement Learning for Organ Localization in CT. - Fernando Navarro; Anjany Sekuboyina; Diana Waldmannstetter; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (MIDL, 2020)

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. - Carolin M. Pirkl; Pedro A. Gómez; Ilona Lipp; Guido Buonincontri; Miguel Molina-Romero; Anjany Sekuboyina; Diana Waldmannstetter; Jonathan Dannenberg; Sebastian Endt; Alberto Merola; Joseph R. Whittaker; Valentina Tomassini; et al. (MIDL, 2020)

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. - Ahmad Bin Qasim; Ivan Ezhov; Suprosanna Shit; Oliver Schoppe; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jana Lipková; Hongwei Li 004; Bjoern H. Menze (MIDL, 2020)

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. - Diana Waldmannstetter; Fernando Navarro; Benedikt Wiestler; Jan S. Kirschke; Anjany Sekuboyina; Ester Molero; Bjoern H. Menze (WBIR, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Andrey Zhylka; Ivan Ezhov; Alexander Unger; Josien P. W. Pluim; Giles Tetteh; Bjoern H. Menze (CoRR, 2020)

Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks. - Hongwei Li 004; Rameshwara G. N. Prasad; Anjany Sekuboyina; Chen Niu; Siwei Bai; Werner Hemmert; Björn H. Menze (CoRR, 2020)

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Ivan Ezhov; Alexander Unger; Andrey Zhylka; Josien P. W. Pluim; Ulrich Bauer; Bjoern H. Menze (CVPR, 2021)

Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference. - Hongwei Li 004; Rameshwara G. N. Prasad; Anjany Sekuboyina; Chen Niu; Siwei Bai; Werner Hemmert; Bjoern H. Menze (ISBI, 2021)

A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. - Anjany Sekuboyina; Daniel Oñoro-Rubio; Jens Kleesiek; Brandon Malone (ISBI, 2021)

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)

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. - Hongwei Li 004; Sunita Gopal; Anjany Sekuboyina; Jianguo Zhang 001; Chen Niu; Carolin M. Pirkl; Jan Kirschke; Benedikt Wiestler; Bjoern H. Menze (UNSURE/PIPPI@MICCAI, 2021)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Michela Tosetti; Mauro Costagli; et al. (MIDL, 2021)

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience. - Johannes C. Paetzold; Julian McGinnis; Suprosanna Shit; Ivan Ezhov; Paul Büschl; Chinmay Prabhakar; Anjany Sekuboyina; Mihail I. Todorov; Georgios Kaissis; Ali Ertürk; Stephan Günnemann; Bjoern H. Menze (NeurIPS Datasets and Benchmarks, 2021)

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. - Fabian Balsiger; Alain Jungo; Naren Akash R. J; Jianan Chen 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. - Hans Liebl; David Schinz; Anjany Sekuboyina; Luca Malagutti; Maximilian T. Löffler; Amirhossein Bayat; Malek El Husseini; Giles Tetteh; Katharina Grau; Eva Niederreiter; Thomas Baum; Benedikt Wiestler; et al. (CoRR, 2021)

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging. - Fernando Navarro; Christopher Watanabe; Suprosanna Shit; Anjany Sekuboyina; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (CoRR, 2021)

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph). - Johannes C. Paetzold; Julian McGinnis; Suprosanna Shit; Ivan Ezhov; Paul Büschl; Chinmay Prabhakar; Mihail I. Todorov; Anjany Sekuboyina; Georgios Kaissis; Ali Ertürk; Stephan Günnemann; Bjoern H. Menze (CoRR, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning. - Fernando Navarro; Guido Sasahara; Suprosanna Shit; Anjany Sekuboyina; Ivan Ezhov; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (EMBC, 2022)

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective. - Fernando Navarro; Christopher Watanabe; Suprosanna Shit; Anjany Sekuboyina; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (EMBC, 2022)

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. - Chinmay Prabhakar; Anjany Sekuboyina; Hongwei Bran Li; Johannes C. Paetzold; Suprosanna Shit; Tamaz Amiranashvili; Jens Kleesiek; Bjoern H. Menze (GeoMedIA, 2022)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Mauro Costagli; Guido Buonincontri; et al. (Medical Image Anal., 2022)

Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling. - Anjany Sekuboyina; Jannik Irmai; Suprosanna Shit; Jan Kirschke; Bjoern Andres; Bjoern H. Menze (ISBI, 2023)

Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays. - Ibrahim Ethem Hamamci; Sezgin Er; Enis Simsar; Anjany Sekuboyina; Mustafa Gundogar; Bernd Stadlinger; Albert Mehl; Bjoern H. Menze (MICCAI (6), 2023)

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations. - Robert Graf; Joachim Schmitt; Sarah Schlaeger; Hendrik Kristian Möller; Vasiliki Sideri-Lampretsa; Anjany Sekuboyina; Sandro Manuel Krieg; Benedikt Wiestler; Bjoern H. Menze; Daniel Rueckert; Jan Stefan Kirschke (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; 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)

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes. - Ibrahim Ethem Hamamci; Sezgin Er; Anjany Sekuboyina; Enis Simsar; Alperen Tezcan; Ayse Gulnihan Simsek; Sevval Nil Esirgun; Furkan Almas; Irem Dogan; Muhammed Furkan Dasdelen; Chinmay Prabhakar; Hadrien Reynaud; et al. (ECCV (79), 2024)

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models. - Corentin Royer; Bjoern H. Menze; Anjany Sekuboyina (MIDL, 2024)

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. - Hendrik Kristian Möller; Robert Graf; Joachim Schmitt; Benjamin Keinert; Matan Atad; Anjany Sekuboyina; Felix Streckenbach; Hanna Schön; Florian Kofler; Thomas Kröncke; Stefanie Bette; Stefan Willich; et al. (CoRR, 2024)

A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities. - Ibrahim Ethem Hamamci; Sezgin Er; Furkan Almas; Ayse Gulnihan Simsek; Sevval Nil Esirgun; Irem Dogan; Muhammed Furkan Dasdelen; Bastian Wittmann; Enis Simsar; Mehmet Simsar; Emine Bensu Erdemir; Abdullah Alanbay; et al. (CoRR, 2024)

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. - Poulami Sinhamahapatra; Suprosanna Shit; Anjany Sekuboyina; Malek El Husseini; David Schinz; Nicolas Lenhart; Bjoern H. Menze; Jan Kirschke; Karsten Roscher; Stephan Günnemann (CoRR, 2024)

DeViDe: Faceted medical knowledge for improved medical vision-language pre-training. - Haozhe Luo; Ziyu Zhou; Corentin Royer; Anjany Sekuboyina; Bjoern H. Menze (CoRR, 2024)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)