Imperial College London


Faculty of EngineeringDepartment of Computing

Honorary Research Fellow



m.rajchl Website CV




Huxley BuildingSouth Kensington Campus





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


More resources:

Twitter link

Google Scholar link

Personal Github link

BioMedIA Github link

Advanced Segmentation Tools (ASETS) website .



Meng Q, Zimmer V, Hou B, et al., 2019, Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging, Ieee Transactions on Medical Imaging, ISSN:0278-0062

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


Wang C, Rajchl M, Chan ADC, et al., 2019, An ensemble of U-Net architecture variants for left atrial segmentation, Conference on Medical Imaging - Computer-Aided Diagnosis, SPIE-INT SOC OPTICAL ENGINEERING, ISSN:0277-786X

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

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