Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method von Veta, Mitko, van Diest, Paul J, Jiwa, Mehdi, Al-Janabi, Shaimaa, Pluim, Josien P W

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elastix: A Toolbox for Intensity-Based Medical Image Registration von Klein, S., Staring, M., Murphy, K., Viergever, M.A., Pluim, J.

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Automatic nuclei segmentation in H&E stained breast cancer histopathology images von Veta, Mitko, van Diest, Paul J, Kornegoor, Robert, Huisman, André, Viergever, Max A, Pluim, Josien P W

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Automatic classification of focal liver lesions based on MRI and risk factors von Jansen, Mariëlle J A, Kuijf, Hugo J, Veldhuis, Wouter B, Wessels, Frank J, Viergever, Max A, Pluim, Josien P W

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Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines von Klein, S., Staring, M., Pluim, J.P.W.

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Adaptive Stochastic Gradient Descent Optimisation for Image Registration von Klein, Stefan, Pluim, Josien P. W., Staring, Marius, Viergever, Max A.

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Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images von Wetstein, Suzanne C., de Jong, Vincent M. T., Stathonikos, Nikolas, Opdam, Mark, Dackus, Gwen M. H. E., Pluim, Josien P. W., van Diest, Paul J., Veta, Mitko

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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis von Cheplygina, Veronika, de Bruijne, Marleen, Pluim, Josien P.W.

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Advanced Ultrasound and Photoacoustic Imaging in Cardiology von Wu, Min, Awasthi, Navchetan, Rad, Nastaran Mohammadian, Pluim, Josien P W, Lopata, Richard G P

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Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks von Eppenhof, Koen A. J., Pluim, Josien P. W.

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Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE) von Langerak, Thomas Robin, van der Heide, U A, Kotte, A N T J, Viergever, M A, van Vulpen, M, Pluim, J P W

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Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores von Jiong Zhang, Dashtbozorg, Behdad, Bekkers, Erik, Pluim, Josien P. W., Duits, Remco, ter Haar Romeny, Bart M.

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Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty von Heslinga, Friso G., Lucassen, Ruben T., van den Berg, Myrthe A., van der Hoek, Luuk, Pluim, Josien P. W., Cabrerizo, Javier, Alberti, Mark, Veta, Mitko

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Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures von van Rikxoort, Eva M, Prokop, Mathias, de Hoop, Bartjan, Viergever, Max A, Pluim, Josien, van Ginneken, Bram

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Progressively Trained Convolutional Neural Networks for Deformable Image Registration von Eppenhof, Koen A. J., Lafarge, Maxime W., Veta, Mitko, Pluim, Josien P. W.

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Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge von Wang, Li, Nie, Dong, Li, Guannan, Puybareau, Elodie, Dolz, Jose, Zhang, Qian, Wang, Fan, Xia, Jing, Wu, Zhengwang, Chen, Jia-Wei, Thung, Kim-Han, Bui, Toan Duc, Shin, Jitae, Zeng, Guodong, Zheng, Guoyan, Fonov, Vladimir S., Doyle, Andrew, Xu, Yongchao, Moeskops, Pim, Pluim, Josien P. W., Desrosiers, Christian, Ayed, Ismail Ben, Sanroma, Gerard, Benkarim, Oualid M., Casamitjana, Adria, Vilaplana, Veronica, Lin, Weili, Li, Gang, Shen, Dinggang

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Roto-translation equivariant convolutional networks: Application to histopathology image analysis von Lafarge, Maxime W., Bekkers, Erik J., Pluim, Josien P.W., Duits, Remco, Veta, Mitko

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Gland segmentation in colon histology images: The glas challenge contest von Sirinukunwattana, Korsuk, Pluim, Josien P.W., Chen, Hao, Qi, Xiaojuan, Heng, Pheng-Ann, Guo, Yun Bo, Wang, Li Yang, Matuszewski, Bogdan J., Bruni, Elia, Sanchez, Urko, Böhm, Anton, Ronneberger, Olaf, Cheikh, Bassem Ben, Racoceanu, Daniel, Kainz, Philipp, Pfeiffer, Michael, Urschler, Martin, Snead, David R.J., Rajpoot, Nasir M.

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Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images von Chandra, S. S., Dowling, J. A., Kai-Kai Shen, Raniga, P., Pluim, J. P. W., Greer, P. B., Salvado, O., Fripp, J.

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Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge von Veta, Mitko, Heng, Yujing J., Stathonikos, Nikolas, Bejnordi, Babak Ehteshami, Beca, Francisco, Wollmann, Thomas, Rohr, Karl, Shah, Manan A., Wang, Dayong, Rousson, Mikael, Hedlund, Martin, Tellez, David, Ciompi, Francesco, Zerhouni, Erwan, Lanyi, David, Viana, Matheus, Kovalev, Vassili, Liauchuk, Vitali, Phoulady, Hady Ahmady, Qaiser, Talha, Graham, Simon, Rajpoot, Nasir, Sjöblom, Erik, Molin, Jesper, Paeng, Kyunghyun, Hwang, Sangheum, Park, Sunggyun, Jia, Zhipeng, Chang, Eric I-Chao, Xu, Yan, Beck, Andrew H., van Diest, Paul J., Pluim, Josien P.W.

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