Anjany Sekuboyina

About Anjany Sekuboyina

Anjany Sekuboyina, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Vision, Biomedical Imaging, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes

SPINEPS--Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities

DeViDe: Faceted medical knowledge for improved medical vision-language pre-training

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

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations

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

Anjany Sekuboyina Information

University

Position

PhD Student

Citations(all)

2365

Citations(since 2020)

2342

Cited By

457

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Anjany Sekuboyina Skills & Research Interests

Computer Vision

Biomedical Imaging

Machine Learning

Top articles of Anjany Sekuboyina

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes

arXiv preprint arXiv:2404.02830

2024/4/3

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Jan Kirschke
Jan Kirschke

H-Index: 32

SPINEPS--Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

arXiv preprint arXiv:2402.16368

2024/2/26

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

arXiv preprint arXiv:2402.09262

2024/2/14

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities

arXiv preprint arXiv:2403.17834

2024/3/26

Enis Simsar
Enis Simsar

H-Index: 0

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

DeViDe: Faceted medical knowledge for improved medical vision-language pre-training

arXiv preprint arXiv:2404.03618

2024/4/4

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations

arXiv preprint arXiv:2308.09345

2023/8/18

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Daniel Rueckert
Daniel Rueckert

H-Index: 85

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

Frontiers in endocrinology

2023/7/17

Nico Sollmann
Nico Sollmann

H-Index: 25

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling

2023/4/18

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Jan Kirschke
Jan Kirschke

H-Index: 32

Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation

European Radiology Experimental

2023/11/14

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Daniel Rueckert
Daniel Rueckert

H-Index: 85

Jannis Bodden1, Michael Dieckmeyer1, 2, Nico Sollmann1, 3, 4, Egon Burian5, Sebastian Rühling1, Maximilian T. Löffler1, 6, Anjany Sekuboyina1, 7, 8, Malek El Husseini1, 7 …

2023

Beyond medical imaging-A review of multimodal deep learning in radiology

2023/10/30

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Jan Egger
Jan Egger

H-Index: 21

Diffusion-based hierarchical multi-label object detection to analyze panoramic dental x-rays

2023/10/1

Enis Simsar
Enis Simsar

H-Index: 0

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

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

European Radiology

2022/9

A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning

2022/7/11

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

2022/7/11

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

Frontiers in Bioengineering and Biotechnology

2022/7/11

Amirhossein Bayat
Amirhossein Bayat

H-Index: 3

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs

2022/11/29

Anjany Sekuboyina
Anjany Sekuboyina

H-Index: 9

See List of Professors in Anjany Sekuboyina University(Technische Universität München)

Co-Authors

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