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Department of Information Technology

Presentations Spring 2023 1MD038 (Image Analysis and Machine Learning)

Date Time Room Course Respondent Title Opponent Reviewer
7/6 11:15-12:00 1MD038 Tobias Arnehall Johansson A Bidirectional Approach Applied on Deeper and Wider Siamese Network Madelene Alanenpää Ewert Bengtsson
15/6 11:15-12:00 1MD038 Madelene Alanenpää Ultrasound neural style transfer using domain specific features Tobias Arnehall Johansson Joakim Lindblad
20/6 10:15-11:00 1MD038 Sanna Severinsson Data Driven Augmentation for Deep Learning Applications Taeyang Choi Joakim Lindblad
25/8 10:15-11:00 1MD038 Arya Farhang Data-driven fault detection and diagnosis in hardware in the loop environment Sanna Severinsson Zheng Zhao
25/8 11:15-12:00 1MD038 Taeyang Choi Large-scale transfer of lesion segmentations from PET to CT Arya Farhang Robin Strand
13/9 10:15-11:00 1MD038 Felicia Fredriksson Fine-tuning Bot Play Styles From Demonstration Duruo Li Per Mattsson
13/9 11:15-12:00 1MD038 Duruo Li Sim2Real: Generating synthetic images from industry CAD models with domain randomization Felicia Fredriksson Joakim Lindblad
15/9 10:15-11:00 1MD038 Pranav Prakash Chandra Comprehensive study of brain age prediction using machine learning and deep learning techniques Richards Britto Christu Dhas Robin Strand
15/9 11:15-12:00 1MD038 Richards Britto Christu Dhas Advancing iNPH Diagnosis Through Deep Learning Powered Evan’s Index Computation Pranav Prakash Chandra Robin Strand
13/12 10:15-11:00 1MD038 Yu-Ching Li Laurens Hees Ida-Maria Sintorn
13/12 11:15-12:00 1MD038 Laurens Hees Yu-Ching Li Joakim Lindblad
Updated  2023-12-01 13:34:58 by Natasa Sladoje.