Imperial College London

DrMartinRajchl

Faculty of EngineeringDepartment of Computing

Honorary Research Fellow
 
 
 
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Contact

 

m.rajchl Website CV

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

I am an Imperial College Research Fellow at the Depts. of Computing and Medicine and founder of the Deep Learning Toolkit (DLTK) for medical imaging.

DLTK website source model zoo

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More resources:

Twitter link

Google Scholar link

Personal Github link

BioMedIA Github link

Advanced Segmentation Tools (ASETS) website .


Publications

Journals

Bai W, Sinclair M, Tarroni G, et al., 2018, Automated cardiovascular magnetic resonance image analysis with fully convolutional networks., Journal of Cardiovascular Magnetic Resonance, Vol:20, ISSN:1097-6647

Conference

Wang C, Rajchl M, Chan ADC, et al., 2019, An ensemble of U-Net architecture variants for left atrial segmentation, ISSN:1605-7422

Biffi C, Oktay O, Tarroni G, et al., 2018, Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling, International Conference On Medical Image Computing & Computer Assisted Intervention, Springer, Pages:464-471, ISSN:0302-9743

Meng Q, Baumgartner C, Sinclair M, et al., 2018, Automatic shadow detection in 2D ultrasound images, International Workshop on Preterm, Perinatal and Paediatric Image Analysis, Pages:66-75, ISSN:0302-9743

Rajchl M, Pawlowski N, Rueckert D, et al., 2018, NeuroNet: fast and robust reproduction of multiple brain Image segmentation pipelines, International Conference on Medical Imaging with Deep Learning (MIDL), MIDL

More Publications