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January 03, 2023, Research Visit: I will visit Misha Belkin’s group at UC San Diego from 1st of March to 27th of May. During that time we will work on generalization of overparameterized models.
Misha Belkin
December 05, 2022, Poster Presentation: I presented a poster on our ongoing work in ECG-regression for electrolyte prediction at the annual AI4Reserach workshop, Uppsala.
poster workshop
November 22, 2022, Invited Talk: The bi-annual joint meeting from the Swedish and Danish societies for biopharmaceutical/medical statistics (DSBS, FMS), invited me to talk about our latest work in prediction models for myocardial infarctions from ECGs.
program slides
November 16, 2022, DDLS Panel Discussion: I was invited to a panel talk at the DDLS Annual Conference at SciLifeLab in Stockholm. The panel discussion has the topic: Training in Data Driven Life Science.
program conference
November 15, 2022, Paper Accepted: Our paper with the title “Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients” was accepted for publication at Scientific Reports.
doi
July 25, 2022, Workshop Participation: Next week from 01.08-05.08 I will participate in the “Deep Learning Theory Workshop and Summer School” at the Simons Institute for the Theory of Computing. This will be my first in-person event since the start of my PhD.
workshop
June 02, 2022, Master Defence - Theogene: My master student Theogene Habineza defended his master thesis titled “Risk Prediction of Atrial Fibrillation Using the 12-lead ECG”. The reviewer was Thomas Schön.
March 25, 2022, Half-Time Seminar: I presented my PhD half-time seminar titled “Deep models for temporal data with applications to electrocardiography”.
details slides
February 23, 2022, Pedagogical Video: We created a video on explaining the essence of machine learning in a pedagogical way with a medical classification example.
project video blog
October 26, 2021, Accepted Paper: Our submission in ECG classification of myocardial infarctions to the NeurIPS workshop “Machine learning from ground truth: New medical imaging datasets for unsolved medical problems Workshop” was accepted as spotlight talk.
paper slides workshop
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