Computer Vision News - June 2023

37 Trustworthy ML for Healthcare entitled “ Trustworthy Machine Learning in Medical Imaging ” by Lena Maier-Hein from DKFZ in Heidelberg (Germany). Apart from developing trustworthy machine learning algorithms, Lena also raised the question of a lack of standardization in the field of medical image analysis, which impeded successful adoption of modern ML research into clinical use . She further discussed pervasive shortcomings in “ This is the key reason why we organize this workshop ,” Luyang said, “ We aim to bring together researchers from interdisciplinary fields, including but not limited to machine learning, clinical research, and medical imaging, etc. , to provide different perspectives on how to develop trustworthy ML algorithms to accelerate the landing of ML in healthcare. This can also be seen by the diversity of our program committee: we have Yuyin Zhou, Jing Qin, Yueming Jin, Xi Wang, Pheng-AnnHeng, Danny Z. Chen, and Tim Kwang Ting Cheng from the Computer Science field; Daguang Xu and Le Lu from the industry; Vince Varut Vardhanabhuti and Marius George Linguraru from the clinical institute; as well as Jiguang Wang and Xin Wang from the life science field. ” The workshop has received in total 31 valid submissions and finally accepted 18 papers, with 10 short orals and 8 long orals. “ Holding the very first TML4H workshop, we are surprised and also excited to receive such a large number of submissions. It revealed how much attention the research community is paying on this topic. ” The workshop began with the keynote Lena Maier-Hein