D-Index & Metrics Best Publications

Julia A. Schnabel

King's College London
United Kingdom

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 44 Citations 9,048 274 World Ranking 4766 National Ranking 301

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to medical image computing

Overview

What is she best known for?

The fields of study Julia A. Schnabel is best known for:

Computer vision
Active appearance model
Gene

Her Computer vision study typically links adjacent topics like Landmark. Her research links Computer vision with Landmark. Segmentation is often connected to Active shape model in her work. She integrates many fields in her works, including Active shape model and Active appearance model. Her study brings together the fields of Image (mathematics) and Active appearance model. Her research on Image (mathematics) often connects related areas such as Image registration. Julia A. Schnabel integrates many fields in her works, including Image registration and Image segmentation. Her work on Segmentation expands to the thematically related Image segmentation. Julia A. Schnabel regularly ties together related areas like Statistical model in her Artificial intelligence studies.

Her most cited work include:

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration (387 citations)
Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling (348 citations)

What are the main themes of her work throughout her whole career to date

Her Geometry research incorporates elements of Pure mathematics and Similarity (geometry). Her research brings together the fields of Affine transformation and Pure mathematics. She performs multidisciplinary study in Affine transformation and Similarity (geometry) in her work. Julia A. Schnabel undertakes interdisciplinary study in the fields of Artificial intelligence and Data mining through her works. Julia A. Schnabel integrates many fields, such as Data mining and Artificial intelligence, in her works. In most of her Computer vision studies, her work intersects topics such as Filter (signal processing). Her Computer vision research extends to Filter (signal processing), which is thematically connected. Her Noise (video) research extends to the thematically linked field of Image (mathematics). Noise (video) and Image (mathematics) are frequently intertwined in her study.

Julia A. Schnabel most often published in these fields:

Artificial intelligence (83.33%)
Computer vision (58.33%)
Image (mathematics) (58.33%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration

D. Rueckert;A.F. Frangi;J.A. Schnabel.
IEEE Transactions on Medical Imaging (2003)

570 Citations

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

Mattias P. Heinrich;Mark Jenkinson;Manav Bhushan;Tahreema Matin.
Medical Image Analysis (2012)

547 Citations

Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen.
IEEE Transactions on Medical Imaging (2002)

539 Citations

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

Julia A. Schnabel;Daniel Rueckert;Marcel Quist;Jane M. Blackall.
medical image computing and computer assisted intervention (2001)

520 Citations

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus.
IEEE Transactions on Medical Imaging (2011)

464 Citations

Validation of nonrigid image registration using finite-element methods: application to breast MR images

J.A. Schnabel;C. Tanner;A.D. Castellano-Smith;A. Degenhard.
IEEE Transactions on Medical Imaging (2003)

366 Citations

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.

Maria Kuklisova-Murgasova;Gerardine Quaghebeur;Mary A. Rutherford;Joseph V. Hajnal.
Medical Image Analysis (2012)

281 Citations

Non-local shape descriptor: a new similarity metric for deformable multi-modal registration

Mattias P. Heinrich;Mark Jenkinson;Manav Bhushan;Tahreema Matin.
medical image computing and computer assisted intervention (2011)

268 Citations

An evaluation of four automatic methods of segmenting the subcortical structures in the brain.

Kolawole Oluwole Babalola;Brian Patenaude;Paul Aljabar;Julia A. Schnabel.
NeuroImage (2009)

250 Citations

MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

H. P. Heinrich;M. Jenkinson;M. Brady;J. A. Schnabel.
IEEE Transactions on Medical Imaging (2013)

236 Citations

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Julia A. Schnabel

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is she best known for?

The fields of study Julia A. Schnabel is best known for:

Her most cited work include:

What are the main themes of her work throughout her whole career to date

Julia A. Schnabel most often published in these fields:

Best Publications

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