Anjany Sekuboyina
Orcid: 0000-0002-5601-284X
According to our database1,
Anjany Sekuboyina
authored at least 46 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities.
CoRR, 2024
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models.
CoRR, 2024
2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
CoRR, 2023
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023
Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Medical Image Anal., 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data.
CoRR, 2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks.
CoRR, 2020
CoRR, 2020
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
2018
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets.
CoRR, 2017
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017