Jana Lipkova
Jana Lipkova
Harvard Medical School, Brigham and Women's Hospital
Verified email at - 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
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
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
AI-based pathology predicts origins for cancers of unknown primary
MY Lu, TY Chen, DFK Williamson, M Zhao, M Shady, J Lipkova, ...
Nature 594 (7861), 106-110, 2021
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 Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ...
IEEE transactions on medical imaging 38 (8), 1875-1884, 2019
Identifying the best machine learning algorithms for brain tumor segmentation
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018
The Art of Theoretical Biology
F Matthäus, S Matthäus, S Harris, T Hillen
Springer, 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, 125, 2020
CXCR4-targeted PET 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 61 (12), 1765-1771, 2020
Lits-liver tumor segmentation challenge
P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis
ISBI and MICCAI, 2017
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
Importance of the assessment of coenzyme Q10, alpha-tocopherol and oxidative stress for the diagnosis and therapy of infertility in men.
A Gvozdjakova, J Kucharska, J Lipkova, B Bartolcicova, J Dubravicky, ...
Bratislavske Lekarske Listy 114 (11), 607-609, 2013
Federated learning for computational pathology on gigapixel whole slide images
MY Lu, RJ Chen, D Kong, J Lipkova, R Singh, DFK Williamson, TY Chen, ...
Medical image analysis 76, 102298, 2022
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
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, ...
Medical Imaging with Deep Learning, 655-668, 2020
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
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
Algorithm fairness in ai for medicine and healthcare
RJ Chen, TY Chen, J Lipkova, JJ Wang, DFK Williamson, MY Lu, S Sahai, ...
arXiv preprint arXiv:2110.00603, 2021
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