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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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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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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Mutual-information-based registration of medical images: a survey von Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.

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

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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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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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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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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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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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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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Image registration by maximization of combined mutual information and gradient information von Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.

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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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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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A survey of medical image registration – under review von Viergever, Max A., Maintz, J.B. Antoine, Klein, Stefan, Murphy, Keelin, Staring, Marius, Pluim, Josien P.W.

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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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