March 2018. Very honoured to be named as a Royal Society Entrepreneur in Residence at UCL working on quantum and AI. The award enables me to spend part of my time helping UCL commercialise their research. More here.
March 2018. Sharing Siemens Healthineers work in AI and our work on quantum machine learning with UCL at the European Enterprise Network event on AI in Medicine.
Jan 2018. I am giving a talk at the London Business School on AI in Healthcare.
Jan 2018. Interesting talks at QIP on the competition to build quantum computers.
Dec 2017. Our work on quantum machine learning will be presented at the Royal Societies meeting on the Foundations of quantum mechanics and their impact on contemporary society, held on the 11th of December.
Dec 2017. Some of our work short listed for awards and highlighted in Cardiac rhythm news
Nov 2017. I am looking for an intern to join our quantum machine learning project based at UCL. Email me at firstname.lastname@example.org if you are interested.
July 2017. Talk at the Hamlyn Symposium – Image Guided Interventions on our GuideCRT platform.
June 2017. We have a job opening for an industrial post-doc position working on Quantum Machine Learning. Email me at email@example.com if you are interested.
January 2017. Our cardiac guidance platform has been in the news papers and is being used by St Thomas’ hospital to implant endocardial wireless pacing devices. Our collaborators at St Thomas’ feature in this years Heart Rhythm Society (HRS) video.
November 2016. We have been awarded a grant by InnovateUK to explore Quantum Algorithms for Cognitive Healthcare in collaboration with University College London.
June 2016. GuideCRT project – fusing MR imaging with intervention x-rays to guide CRT implants for heart failure is in the press. Daily Mail, Medical Xpress, Science Business, GSTT, KCL , dotmed, Videos on twitter here , here , and here and a longer video on youtube.
January 2016. Paper accepted to SPIE Interactive visualization for scar transmurality in cardiac resynchronization therapy
November 2015. Talk on The medical imaging technologies shaping the products of tomorrow at the EPSRC Centre for Doctoral Training in Medical Imaging.
August 2015. Talk at the Medical Image Computing Summer School at University College London.
June 2015. Talk on the Challenges in Dynamic Imaging Data at the Isaac Newton Institute, Cambridge University
September 2014. At MICCAI our journal paper Real-Time Ultrasound Transducer Localization in Fluoroscopy Images by Transfer Learning from Synthetic Training Data won the Medical Image Analysis Best Paper Award.
October 2012. MICCAI paper accepted on fusion of fluoroscopy and TEE ultrasound. Paper here.
AR Times. March 2011. AR Times picked up on a video demonstration Mirna Lerotic (inverse realision visualisation) and my work (tissue tracking).
MICCAI 2011 Tutorial. March 2011. We will be giving a tutorial at this years MICCAI titled “3D Surface reconstruction in laparoscopic surgery”. More details to follow.
VIP Laparoscopic/Endoscopic dataset. Feb 2011. Two new cardiac phantom data-sets added with ground truth from dynamic CT.
CARS. Feb 2011: We’ve had two co-authored papers accepted to CARS (Computer Aided Radiology and Surgery) which use SLAM. One paper titled “Horizon Stabilized – Dynamic View Expansion for Robotic Assisted Surgery (HS-DVE)” which redintroduces missing visual cues to aid the surgeon in navigation. The other is titled “Enhanced Visualisation for Minimally Invasive Surgery” and uses texture synthesis, inpainting and texture mesh paramaterisation methods to improve visualisation of the surgical scene.
The Annals of Surgery. Dec 2010: The co-authored paper “Orientation strategies in Natural Orifice Translumenal Endoscopic Surgery” has been accepted to the Annals of Surgery. This journal has an Impact Factor of 7.9. The work investigates the effect of disorientation in NOTES and strategies for dealing with it.
Vimeo. You can find some of my videos on Vimeo now.
Dataset website now online. The website has 10 endoscopic / laparoscopic datasets including, ex vivo, in vivo, Laparoscopic, Endoscopic, Monocular, Stereo, NOTES, Cardiac, Abdominal, Liver. We provide intrinsic and extrinsic calibration data for the cameras. The idea behind this website is to make medical datasets avaliable to the vision community so researchers don’t need to establish relationships with hospitals, collect data, gain patient consent etc.. More datasets will be added including validataion data.
Signal Processing Magazine review/turorial article . The July 2010 issue of SPM has our review/tutorial article on using endoscopic/laparoscoic image for 3D reconstruction, tissue tracking, structure from motion, SLAM etc.
MICCAI 2010. My paper on Motion Compensated SLAM has been accepted to MICCAI 2010. The paper formulates the SLAM problem to work in a totally non static environment where tissue motion is caused by respiration. Video.