Snigdha Sen
@snigdhasen98
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@Cmicucl @medimaging_cdt phd student | cancer, mri & deep learning | @imperialphysics grad | she/her
London, England
Joined September 2020
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
onlinelibrary.wiley.com
Purpose Demonstrating and assessing self-supervised machine-learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer. Met...
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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
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Loved presenting at #ISMRM2024 today, showing our work on translating VERDICT-MRI to renal tumours! As always, some great discussions and new ideas 💡 @LauraPanagio
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Fantastic end to #ISMRM2023 at Niagara Falls yesterday with some @CmicUcl colleagues! Canada you were wonderful 🇨🇦
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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
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Had a lot of fun presenting my work on self-supervised model fitting of VERDICT this morning! Some excellent discussions! @PaddySlator @LauraPanagio
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If you’d like to hear more about diffusion MRI signal modelling, come along to poster #4603 on Thursday morning!
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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 🔬
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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.
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My first paper got published! 🥳We share findings from a systematic review of interpretable machine learning approaches for dementia prediction in Alzheimer's & Dementia. Available online: https://t.co/M8DgxMenur
@JamesCole_Neuro @florencetownend @FBarkhof @medimaging_cdt
alz-journals.onlinelibrary.wiley.com
Introduction Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building robust and generali...
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Great to see this work by @sophmrtn on Interpretable AI for dementi out now in A&D: https://t.co/3sZ445yJL7. With @FBarkhof and Florence Townend.
alz-journals.onlinelibrary.wiley.com
Introduction Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building robust and generali...
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The next round of recruitment is open for i4health CDT Open Studentships. Deadline :12th February 2023
ucl.ac.uk
The i4health CDT aims to recruit outstanding students to undertake fully-funded PhD studentships at UCL.
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Getting our issues ticked off at #CMICHACKS ! @CmicUcl Modelling brain heterogeneity in ‘real time’ @sophmrtn @LevitisLiza @ChiaraCasella11 @SivaniyaSubram @mar_estarellas
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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
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Kicking off at CMICHACKS! Excited to see this come together after everyone’s hard work! @CmicUcl
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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
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