Jana Lipkova
Jana Lipkova
Harvard Medical School, Brigham and Women's Hospital
Verified email at bwh.harvard.edu - Homepage
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks
PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ...
arXiv preprint arXiv:1702.05970, 2017
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Analysis of Brownian dynamics simulations of reversible bimolecular reactions
J Lipková, KC Zygalakis, SJ Chapman, R Erban
SIAM Journal on Applied Mathematics 71 (3), 714-730, 2011
Automated whole-body bone lesion detection for multiple myeloma on 68Ga-Pentixafor PET/CT imaging using deep learning methods
L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ...
Contrast media & molecular imaging 2018, 2018
Personalized radiotherapy Design for Glioblastoma: integrating mathematical tumor models, multimodal scans, and Bayesian inference
J Lipkova, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ...
IEEE transactions on medical imaging 38 (8), 1875-1884, 2019
Lits-liver tumor segmentation challenge
P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis
ISBI and MICCAI, 2017
Neural parameters estimation for brain tumor growth modeling
I Ezhov, J Lipkova, S Shit, F Kofler, N Collomb, B Lemasson, E Barbier, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Automated unsupervised segmentation of liver lesions in ct scans via cahn-hilliard phase separation
J Lipková, M Rempfler, P Christ, J Lowengrub, BH Menze
arXiv preprint arXiv:1704.02348, 2017
W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration
J Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ...
arXiv preprint arXiv:1807.00499, 2018
Deep learning-based computational pathology predicts origins for cancers of unknown primary
MY Lu, M Zhao, M Shady, J Lipkova, TY Chen, DFK Williamson, ...
arXiv preprint arXiv:2006.13932, 2020
Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression
MC Metz, M Molina-Romero, J Lipkova, J Gempt, F Liesche-Starnecker, ...
Cancers 12 (3), 728, 2020
S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging \tau-Leaping and R-Leaping
J Lipkova, G Arampatzis, P Chatelain, B Menze, P Koumoutsakos
Bulletin of Mathematical Biology 80 (459), 2018
Real-time Bayesian personalization via a learnable brain tumor growth model
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro, M Metz, ...
arXiv preprint arXiv:2009.04240, 2020
BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice
F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ...
Frontiers in Neuroscience 14, 2020
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
S Shit, A Ravi, I Ezhov, J Lipkova, M Piraud, B Menze
arXiv preprint arXiv:1910.03452, 2019
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
MY Lu, D Kong, J Lipkova, RJ Chen, R Singh, DFK Williamsona, ...
arXiv preprint arXiv:2009.10190, 2020
CXCR4-targeted positron emission tomography imaging of central nervous system B-cell lymphoma
P Herhaus, J Lipkova, F Lammer, I Yakushev, T Vag, J Slotta-Huspenina, ...
Journal of Nuclear Medicine, jnumed. 120.241703, 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
arXiv preprint arXiv:2004.10734, 2020
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