Kia, Seyed Mostafa books & textbook
Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and ... Vision, Pattern Recognition, and Graphics)
Stoyanov, Danail Taylor, Zeike Kia, Seyed Mostafa Oguz, Ipek Reyes, Mauricio Martel, Anne Maier-Hein, Lena Marquand, Andre F. Duchesnay, Edouard Löfstedt, Tommy Landman, Bennett Cardoso, M. Jorge Silva, Carlos A. Pereira, Sergio Meier, Raphael
Springer /2018-10-24 Paperback / 165 Pages
isbn-10: 3030026272 / isbn-13: 9783030026271
Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September ... Vision, Pattern Recognition, and Graphics)
Abdulkadir, Ahmed Kia, Seyed Mostafa Habes, Mohamad Kumar, Vinod Rondina, Jane Maryam Tax, Chantal Wolfers, Thomas
Springer /2021-09-23 Paperback / 188 Pages
isbn-10: 3030875857 / isbn-13: 9783030875855
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Zhou, Luping Sarikaya, Duygu Kia, Seyed Mostafa Speidel, Stefanie Malpani, Anand Hashimoto, Daniel Habes, Mohamad Löfstedt, Tommy Ritter, Kerstin
Springer /2019-10-11 Paperback / 132 Pages
isbn-10: 3030326942 / isbn-13: 9783030326944
Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Lecture Notes in Computer Science)
Abdulkadir, Ahmed Bathula, Deepti R. Dvornek, Nicha C. Habes, Mohamad Kia, Seyed Mostafa Kumar, Vinod Wolfers, Thomas
Springer /2022-10-08 Paperback / 192 Pages
isbn-10: 303117898X / isbn-13: 9783031178986
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Kia, Seyed Mostafa Mohy-ud-Din, Hassan Abdulkadir, Ahmed Bass, Cher Habes, Mohamad Rondina, Jane Maryam Tax, Chantal Wang, Hongzhi Wolfers, Thomas
Springer /2020-12-31 Paperback / 324 Pages
isbn-10: 3030668428 / isbn-13: 9783030668426
