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Marcus Nordström
Researcher, Machine Learning, Ingrid Capacity
Joined
May 2022
Names
Marcus Nordström
(Preferred)
,
Marcus Nordstrom
Emails
****@kth.se
(Confirmed)
Personal Links
DBLP
LinkedIn
Career & Education History
Researcher
Machine Learning,
Ingrid Capacity
(ingridcapacity.com)
2025
–
Present
Researcher
Machine Learning,
RaySearch Laboratories
(raysearchlabs.com)
2015
–
2025
PhD student
Mathematics,
KTH Royal Institute of Technology
(kth.se)
2017
–
2023
MS student
Mathematics,
KTH Royal Institute of Technology
(kth.se)
2013
–
2015
Undergrad student
Mathematics,
Stockholm University
(su.se)
2010
–
2013
Undergrad student
Computer Engineering,
KTH Royal Institute of Technology
(kth.se)
2010
–
2013
Advisors, Relations & Conflicts
PhD Advisor
Henrik Hult
2017
–
2023
PhD Advisor
Atsuto Maki
2017
–
2023
Coauthor
Jonas Söderberg
2017
–
2023
PhD Advisor
Fredrik Löfman
2017
–
2023
Coauthor
Han Bao
2019
–
2020
Coauthor
Masashi Sugiyama
2019
–
2020
Expertise
Medical image analysis
,
Image segmentation
,
Imperfect data
,
Deep learning
2017
–
Present
Publications
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordstrom
,
Henrik Hult
,
Fredrik Löfman
,
Jonas Söderberg
Published: 31 Oct 2022, Last Modified: 14 Jan 2023
NeurIPS 2022 Accept
Readers:
Everyone
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordström
,
Henrik Hult
,
Jonas Söderberg
,
Fredrik Löfman
2022 (modified: 12 Nov 2022)
CoRR 2022
Readers:
Everyone
Calibrated Surrogate Maximization of Dice
Marcus Nordström
,
Han Bao
,
Fredrik Löfman
,
Henrik Hult
,
Atsuto Maki
,
Masashi Sugiyama
2020 (modified: 12 Nov 2022)
MICCAI (4) 2020
Readers:
Everyone
Co-Authors
Atsuto Maki
Fredrik Löfman
Han Bao
Henrik Hult
Jonas Söderberg
Masashi Sugiyama