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ORCIDComputerized Medical Imaging and Graphics, Volume 95
Volume 95, January 2022
- Evangeline Yee, Da Ma, Karteek Popuri, Shuo Chen, Hyunwoo Lee, Vincent Chow, Cydney Ma, Lei Wang, Mirza Faisal Beg
:
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation. 102000
- Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen:
Towards human-level performance on automatic pose estimation of infant spontaneous movements. 102012
- Juan Carlos Vizcarra, Erik A. Burlingame, Clemens B. Hug, Yury Goltsev, Brian S. White, Darren R. Tyson, Artem Sokolov:
A community-based approach to image analysis of cells, tissues and tumors. 102013
- Zhihao Chen, Alain Lalande, Michel Salomon, Thomas Decourselle, Thibaut Pommier, Abdul Qayyum, Jixi Shi, Gilles Perrot, Raphaël Couturier:
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. 102014
- Chengtao Peng, Yue Zhang, Jian Zheng, Bin Li, Jun Shen, Ming Li, Lei Liu, Bensheng Qiu, Danny Z. Chen:
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation. 102021
- Kailai Zhang, Hu Chen, Peijun Lyu, Ji Wu:
A relation-based framework for effective teeth recognition on dental periapical X-rays. 102022
- Joanna Czajkowska, Pawel Badura, Szymon Korzekwa, Anna Platkowska-Szczerek:
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness. 102023
- Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. 102026
- David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A survey on graph-based deep learning for computational histopathology. 102027
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