Very happy to finally share the second paper from my PhD, published in Magnetic Resonance in Medicine! We debut ssVERDICT - a self-supervised deep learning method to fit the VERDICT model for prostate 🩻🔬 look forward to hearing your thoughts!
https://t.co/D5cWT9PyIo
How can #machinelearning be applied to improve analysis of diagnostic MRI in #prostatecancer?
New work led by @snigdhasen98 at @CmicUcl tests if a self-supervised model can improve distinction between benign and cancerous tissue
Grab a ☕ and read more: https://t.co/6OIvjLjou3
Loved presenting at #ISMRM2024 today, showing our work on translating VERDICT-MRI to renal tumours! As always, some great discussions and new ideas 💡 @LauraPanagio
So happy to win second place at this year's @ISMRM Magnetic Moments public engagement competition. Huge thanks to the organisers! If you'd like to learn more about the research behind my video, check out poster number 3619 @CmicUcl@medimaging_cdt https://t.co/u5R3fWwg37
Had a great time presenting at #ISMRM23 on behalf of Alonso Garcia Ruiz! Our work discussed the decomposition of clinical ADC using information from histology @LauraPanagio@fragrussu 🔬
Grateful to be selected as a speaker in the ECR session at the UCL Cancer Domain Symposium today! Some excellent talks showcasing the breadth of UCL’s cancer research.
A new type of MRI scan has the potential to transform how we diagnose prostate cancer.
But there's still work to be done. Now, we want to push the limits of what MRI can do.
Help transform diagnosis with a donation this Christmas: https://t.co/pLAkSGX72w
Come check out @CmicUcl part of @UCLmedphys and @uclcs at the BREATHE @bloomsburyfest to learn about lungs and imaging! Public welcome 3-5pm Thursday, Friday and then all day Saturday! Senate House. #science