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, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
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
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
RJ Chen, MY Lu, DFK Williamson, TY Chen, J Lipkova, Z Noor, M Shaban, ...
Cancer Cell 40 (8), 865-878. e6, 2022
Artificial intelligence for multimodal data integration in oncology
J Lipkova, RJ Chen, B Chen, MY Lu, M Barbieri, D Shao, AJ Vaidya, ...
Cancer cell 40 (10), 1095-1110, 2022
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
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 (1), 2391925, 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
Algorithmic fairness in artificial intelligence for medicine and healthcare
RJ Chen, JJ Wang, DFK Williamson, TY Chen, J Lipkova, MY Lu, S Sahai, ...
Nature biomedical engineering 7 (6), 719-742, 2023
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, 501835, 2020
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
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
J Lipkova, TY Chen, MY Lu, RJ Chen, M Shady, M Williams, J Wang, ...
Nature medicine 28 (3), 575-582, 2022
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain …
A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum
Springer, 2019
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
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
The Art of Theoretical Biology
F Matthäus, S Matthäus, S Harris, T Hillen
Springer, 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
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
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