Handbook of Medical Image Computing and Computer Assisted Intervention

<p>1. Image synthesis and superresolution in medical imaging <br>Jerry L. Prince, Aaron Carass, Can Zhao, Blake E. Dewey, Snehashis Roy, Dzung L. Pham<br>2. Machine learning for image reconstruction<br>Kerstin Hammernik, Florian Knoll<br>3. Liver lesion detection in CT using deep learning techniques <br>Avi Ben-Cohen, Hayit Greenspan<br>4. CAD in lung<br>Kensaku Mori<br>5. Text mining and deep learning for disease classification<br>Yifan Peng, Zizhao Zhang, Xiaosong Wang, Lin Yang, Le Lu<br>6. Multiatlas segmentation<br>Bennett A. Landman, Ilwoo Lyu, Yuankai Huo, Andrew J. Asman<br>7. Segmentation using adversarial image-to-image networks <br>Dong Yang, Tao Xiong, Daguang Xu, S. Kevin Zhou<br>8. Multimodal medical volumes translation and segmentation with generative adversarial network <br>Zizhao Zhang, Lin Yang, Yefeng Zheng<br>9. Landmark detection and multiorgan segmentation: Representations and supervised approaches <br>S. Kevin Zhou, Zhoubing Xu<br>10. Deep multilevel contextual networks for biomedical image segmentation <br>Hao Chen, Qi Dou, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng<br>11. LOGISMOS-JEI: Segmentation using optimal graph search and just-enough interaction <br>Honghai Zhang, Kyungmoo Lee, Zhi Chen, Satyananda Kashyap, Milan Sonka<br>12. Deformable models, sparsity and learning-based segmentation for cardiac MRI based analytics<br>Dimitris N. Metaxas, Zhennan Yan<br>13. Image registration with sliding motion <br>Mattias P. Heinrich, Bartłomiej W. Papiez˙<br>14. Image registration using machine and deep learning <br>Xiaohuan Cao, Jingfan Fan, Pei Dong, Sahar Ahmad, Pew-Thian Yap, Dinggang Shen<br>15. Imaging biomarkers in Alzheimer’s disease <br>Carole H. Sudre, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin<br>16. Machine learning based imaging biomarkers in large scale population studies: A neuroimaging perspective <br>Guray Erus, Mohamad Habes, Christos Davatzikos<br>17. Imaging biomarkers for cardiovascular diseases <br>Avan Suinesiaputra, Kathleen Gilbert, Beau Pontre, Alistair A. Young<br>18. Radiomics <br>Martijn P.A. Starmans, Sebastian R. van der Voort, Jose M. Castillo Tovar, Jifke F. Veenland, Stefan Klein, Wiro J. Niessen<br>19. Random forests in medical image computing <br>Ender Konukoglu, Ben Glocker<br>20. Convolutional neural networks <br>Jonas Teuwen, Nikita Moriakov<br>21. Deep learning: RNNs and LSTM <br>Robert DiPietro, Gregory D. Hager<br>22. Deep multiple instance learning for digital histopathology <br>Maximilian Ilse, Jakub M. Tomczak, Max Welling<br>23. Deep learning: Generative adversarial networks and adversarial methods <br>Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Išgum<br>24. Linear statistical shape models and landmark location <br>T.F. Cootes<br>25. Computer-integrated interventional medicine: A 30 year perspective <br>Russell H. Taylor<br>26. Technology and applications in interventional imaging: 2D X-ray radiography/fluoroscopy and 3D cone-beam CT<br>Sebastian Schafer, Jeffrey H. Siewerdsen<br>27. Interventional imaging: MR <br>Eva Rothgang, William S. Anderson, Elodie Breton, Afshin Gangi, Julien Garnon, Bennet Hensen, Brendan F. Judy, Urte Kägebein, Frank K. Wacker<br>28. Interventional imaging: Ultrasound <br>Ilker Hacihaliloglu, Elvis C.S. Chen, Parvin Mousavi, Purang Abolmaesumi, Emad Boctor, Cristian A. Linte<br>29. Interventional imaging: Vision <br>Stefanie Speidel, Sebastian Bodenstedt, Francisco Vasconcelos, Danail Stoyanov<br>30. Interventional imaging: Biophotonics <br>Daniel S. Elson<br>31. External tracking devices and tracked tool calibration <br>Elvis C.S. Chen, Andras Lasso, Gabor Fichtinger<br>32. Image-based surgery planning <br>Caroline Essert, Leo Joskowicz<br>33. Human–machine interfaces for medical imaging and clinical interventions <br>Roy Eagleson, Sandrine de Ribaupierre<br>34. Robotic interventions <br>Sang-Eun Song<br>35. System integration <br>Andras Lasso, Peter Kazanzides<br>36. Clinical translation <br>Aaron Fenster<br>37. Interventional procedures training<br>Tamas Ungi, Matthew Holden, Boris Zevin, Gabor Fichtinger<br>38. Surgical data science <br>Gregory D. Hager, Lena Maier-Hein, S. Swaroop Vedula<br>39. Computational biomechanics for medical image analysis <br>Adam Wittek, Karol Miller<br>40. Challenges in Computer Assisted Interventions <br>P. Stefan, J. Traub, C. Hennersperger, M. Esposito, N. Navab</p>