A. Sekuboyina

发表

The Liver Tumor Segmentation Benchmark (LiTS) pdf

Hao Chen, Leo Joskowicz, Alexandre Hostettler, 2019, Medical Image Anal..

An efficient formulation and parameter selection for multiple image super-resolution

C. S. Seelamantula, A. Sekuboyina, C. Seelamantula, 2016, 2016 Twenty Second National Conference on Communication (NCC).

A convolutional neural network approach for abnormality detection in Wireless Capsule Endoscopy

S. T. Devarakonda, Surya Teja Devarakonda, C. S. Seelamantula, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Jan S. Kirschke, Daguang Xu, Christian Payer, 2020, Medical Image Anal..

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification

Yuan Liu, Bjoern H. Menze, Hongwei Li, 2019, MICCAI.

A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data

Thomas Baum, Bjoern H Menze, Germany, 2021, Scientific Data.

Level-Specific Volumetric BMD Threshold Values for the Prediction of Incident Vertebral Fractures Using Opportunistic QCT: A Case-Control Study

Bjoern H Menze, B. Menze, T. Baum, 2022, Frontiers in Endocrinology.

Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT

T. Baum, A. Sekuboyina, V. Senner, 2022, Frontiers in Bioengineering and Biotechnology.

Automated Opportunistic Osteoporosis Screening in Routine Computed Tomography of the Spine: Comparison With Dedicated Quantitative CT

Bjoern H Menze, C. Zimmer, B. Menze, 2022, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs

Bjoern H Menze, B. Menze, A. Sekuboyina, 2022, GeoMedIA.

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) pdf

Stephan Günnemann, Bjoern H. Menze, Bjoern H Menze, 2021, NeurIPS Datasets and Benchmarks.

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty

Hongwei Li, Bjoern H. Menze, Bjoern H Menze, 2021, UNSURE/PIPPI@MICCAI.

Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine

Bjoern H Menze, R. Braren, C. Zimmer, 2022, European Radiology.

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs

Bjoern H Menze, M. Urschler, D. Štern, 2022, Tomography.

Gender-, Age- and Region-Specific Characterization of Vertebral Bone Microstructure Through Automated Segmentation and 3D Texture Analysis of Routine Abdominal CT

C. Zimmer, T. Baum, A. Sekuboyina, 2022, Frontiers in Endocrinology.

Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements

Bjoern H Menze, R. Braren, C. Zimmer, 2021, European Radiology.

MDCT-Based Finite Element Analyses: Are Measurements at the Lumbar Spine Associated with the Biomechanical Strength of Functional Spinal Units of Incidental Osteoporotic Fractures along the Thoracolumbar Spine?

Karupppasamy Subburaj, T. Baum, A. Sekuboyina, 2021, Diagnostics.

A Vertebral Segmentation Dataset with Fracture Grading

Thomas Baum, Anjany Sekuboyina, Claus Zimmer, 2020, Radiology. Artificial intelligence.

Labeling Vertebrae with Two-dimensional Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy.

Jan S. Kirschke, Bjoern H. Menze, Markus Rempfler, 2020, Radiology. Artificial intelligence.

Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior

Jan S. Kirschke, Bjoern H. Menze, Markus Rempfler, 2018, MICCAI.

Attention-Driven Deep Learning for Pathological Spine Segmentation

Jan S. Kirschke, Bjoern H. Menze, Bjoern H Menze, 2017, MSKI@MICCAI.

A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets pdf

Jan S. Kirschke, Bjoern H. Menze, Bjoern H Menze, 2017, ArXiv.

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation

Yu Zhao, Hongwei Li, Shaohua Wan, 2019, IEEE Journal of Biomedical and Health Informatics.

Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Luis F. Rodriguez Venegas, N. Navab, M. Piraud, 2021, MICCAI.

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)

Bjoern H Menze, Johannes C. Paetzold, Mihail I. Todorov, 2021, ArXiv.

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Bjoern H Menze, A. Mehl, A. Sekuboyina, 2023, ArXiv.

Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT

Karupppasamy Subburaj, T. Baum, A. Sekuboyina, 2021, Diagnostics.

Beyond Medical Imaging - A Review of Multimodal Deep Learning in Radiology

Bjoern H Menze, J. Egger, A. Sekuboyina, 2022 .

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

Bjoern H Menze, Johannes C. Paetzold, Jana Lipková, 2020, MIDL.

DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

Jan S. Kirschke, Hongwei Li, Jianguo Zhang, 2019, MICCAI.

Prediction of incident vertebral fractures in routine MDCT: Comparison of global texture features, 3D finite element parameters and volumetric BMD.

T. Baum, A. Sekuboyina, N. Sollmann, 2021, European journal of radiology.

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Nicol'as P'erez de Olaguer, Bjorn H. Menze, Maximilian T. Loffler, 2020, Medical Image Anal..

VerSe: A Vertebrae Labelling and Segmentation Benchmark pdf

Jan S. Kirschke, Daguang Xu, Xin Wang, 2020, ArXiv.

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation pdf

Josien P. W. Pluim, Bjoern H. Menze, Bjoern H Menze, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations pdf

Jan S. Kirschke, Bjoern H. Menze, Markus Rempfler, 2019, ArXiv.

Evaluating the Robustness of Self-Supervised Learning in Medical Imaging pdf

Bjoern H. Menze, Bjoern H Menze, Stephanie E. Combs, 2021, ArXiv.

Deep Reinforcement Learning for Organ Localization in CT

Bjoern H. Menze, Bjoern H Menze, Stephanie E. Combs, 2020, MIDL.

Learning residual motion correction for fast and robust 3D multiparametric MRI

Jan W. Kurzawski, Bjoern H Menze, Carolin M. Pirkl, 2022, Medical Image Anal..

Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA

C. Zimmer, T. Baum, A. Sekuboyina, 2021, European Radiology.

Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection pdf

Jan S. Kirschke, Bjoern H. Menze, Bjoern H Menze, 2020, MICCAI.

Direct Estimation of Model Parameters in MR Spectroscopic Imaging using Deep Neural Networks

Bjoern H Menze, R. Schulte, A. Sekuboyina, 2017 .

Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings

Jan S. Kirschke, Bjoern H. Menze, Bjoern H Menze, 2020, CSI@MICCAI.

Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective

Bjoern H Menze, A. Sekuboyina, S. Combs, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation

Bjoern H Menze, J. Pluim, A. Sekuboyina, 2020, ArXiv.

Binary Compressive Sensing and Super-Resolution With Unknown Threshold

Chandra Sekhar Seelamantula, Subhadip Mukherjee, Anjany Kumar Sekuboyina, 2018, 2018 International Conference on Signal Processing and Communications (SPCOM).

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience

Bjoern H Menze, Mihail I. Todorov, Stephan Günnemann, 2021, NeurIPS Datasets and Benchmarks.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, arXiv.org.

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting

Alberto Merola, Marion I. Menzel, Bjoern H. Menze, 2020, MIDL.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, ArXiv.

Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans

T. Baum, A. Sekuboyina, N. Sollmann, 2023, Frontiers in endocrinology.

Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference

Hongwei Li, Bjoern H. Menze, Werner Hemmert, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).