Publications

2022

Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors

Medical Imaging 2022: Image Processing
S. D. Verboom, M. Caballo, M. J. M. Broeders, J. Teuwen, I. Sechopoulos, 2022

doi
Tumor tracking in 4D CT images for adaptive radiotherapy

Medical Imaging 2022: Image Processing
P. S. Kronemeijer, E. Gavves, J. Sonke, J. Teuwen, 2022

doi
Mammary duct detection using self-supervised encoders

Medical Imaging 2022: Computer-Aided Diagnosis
S. Doyle, F. Dal Canton, J. Wesseling, C. I. Sánchez, J. Teuwen, 2022

doi
Breast imaging and deep learning: past, present, and future

Advances in Magnetic Resonance Technology and Applications
S. Eskreis-Winkler, J. Teuwen, S. Benson, 2022

doi
Recurrent variational network: A deep learning inverse problem solver applied to the task of accelerated mri reconstruction

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, 2022

url preprints
Federated learning enables big data for rare cancer boundary detection.

Nature communications
S. Pati, U. Baid, B. Edwards, M. Sheller, S. Wang, G. A. Reina, P. Foley, A. Gruzdev, D. Karkada, C. Davatzikos, C. Sako, S. Ghodasara, M. Bilello, S. Mohan, P. Vollmuth, G. Brugnara, C. J. Preetha, F. Sahm, K. Maier-Hein, M. Zenk, M. Bendszus, W. Wick, E. Calabrese, J. Rudie, J. Villanueva-Meyer, S. Cha, M. Ingalhalikar, M. Jadhav, U. Pandey, J. Saini, J. Garrett, M. Larson, R. Jeraj, S. Currie, R. Frood, K. Fatania, R. Y. Huang, K. Chang, C. Balaña, J. Capellades, J. Puig, J. Trenkler, J. Pichler, G. Necker, A. Haunschmidt, S. Meckel, G. Shukla, S. Liem, G. S. Alexander, J. Lombardo, J. D. Palmer, A. E. Flanders, A. P. Dicker, H. I. Sair, C. K. Jones, A. Venkataraman, M. Jiang, T. Y. So, C. Chen, P. A. Heng, Q. Dou, M. Kozubek, F. Lux, J. Michálek, P. Matula, M. Keřkovský, T. Kopřivová, M. Dostál, V. Vybíhal, M. A. Vogelbaum, J. R. Mitchell, J. Farinhas, J. A. Maldjian, C. G. B. Yogananda, M. C. Pinho, D. Reddy, J. Holcomb, B. C. Wagner, B. M. Ellingson, T. F. Cloughesy, C. Raymond, T. Oughourlian, A. Hagiwara, C. Wang, M. To, S. Bhardwaj, C. Chong, M. Agzarian, A. X. Falcão, S. B. Martins, B. C. A. Teixeira, F. Sprenger, D. Menotti, D. R. Lucio, P. Lamontagne, D. Marcus, B. Wiestler, F. Kofler, I. Ezhov, M. Metz, R. Jain, M. Lee, Y. W. Lui, R. Mckinley, J. Slotboom, P. Radojewski, R. Meier, R. Wiest, D. Murcia, E. Fu, R. Haas, J. Thompson, D. R. Ormond, C. Badve, A. E. Sloan, V. Vadmal, K. Waite, R. R. Colen, L. Pei, M. Ak, A. Srinivasan, J. R. Bapuraj, A. Rao, N. Wang, O. Yoshiaki, T. Moritani, S. Turk, J. Lee, S. Prabhudesai, F. Morón, J. Mandel, K. Kamnitsas, B. Glocker, L. V. M. Dixon, M. Williams, P. Zampakis, V. Panagiotopoulos, P. Tsiganos, S. Alexiou, I. Haliassos, E. I. Zacharaki, K. Moustakas, C. Kalogeropoulou, D. M. Kardamakis, Y. S. Choi, S. Lee, J. H. Chang, S. S. Ahn, B. Luo, L. Poisson, N. Wen, P. Tiwari, R. Verma, R. Bareja, I. Yadav, J. Chen, N. Kumar, M. Smits, S. R. Van Der Voort, A. Alafandi, F. Incekara, M. M. J. Wijnenga, G. Kapsas, R. Gahrmann, J. W. Schouten, H. J. Dubbink, A. J. P. E. Vincent, M. J. Van Den Bent, P. J. French, S. Klein, Y. Yuan, S. Sharma, T. Tseng, S. Adabi, S. P. Niclou, O. Keunen, A. Hau, M. Vallières, D. Fortin, M. Lepage, B. Landman, K. Ramadass, K. Xu, S. Chotai, L. B. Chambless, A. Mistry, R. C. Thompson, Y. Gusev, K. Bhuvaneshwar, A. Sayah, C. Bencheqroun, A. Belouali, S. Madhavan, T. C. Booth, A. Chelliah, M. Modat, H. Shuaib, C. Dragos, A. Abayazeed, K. Kolodziej, M. Hill, A. Abbassy, S. Gamal, M. Mekhaimar, M. Qayati, M. Reyes, J. E. Park, J. Yun, H. S. Kim, A. Mahajan, M. Muzi, S. Benson, R. G. H. Beets-Tan, J. Teuwen, A. Herrera-Trujillo, M. Trujillo, W. Escobar, A. Abello, J. Bernal, J. Gómez, J. Choi, S. Baek, Y. Kim, H. Ismael, B. Allen, J. M. Buatti, A. Kotrotsou, H. Li, T. Weiss, M. Weller, A. Bink, B. Pouymayou, H. F. Shaykh, J. Saltz, P. Prasanna, S. Shrestha, K. M. Mani, D. Payne, T. Kurc, E. Pelaez, H. Franco-Maldonado, F. Loayza, S. Quevedo, P. Guevara, E. Torche, C. Mendoza, F. Vera, E. Ríos, E. López, S. A. Velastin, G. Ogbole, M. Soneye, D. Oyekunle, O. Odafe-Oyibotha, B. Osobu, M. Shu'Aibu, A. Dorcas, F. Dako, A. L. Simpson, M. Hamghalam, J. J. Peoples, R. Hu, A. Tran, D. Cutler, F. Y. Moraes, M. A. Boss, J. Gimpel, D. K. Veettil, K. Schmidt, B. Bialecki, S. Marella, C. Price, L. Cimino, C. Apgar, P. Shah, B. Menze, J. S. Barnholtz-Sloan, J. Martin, S. Bakas, 2022, 13;(1):7346

url abstract
WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

Medical Imaging 2022: Digital and Computational Pathology
Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, 2022

doi preprints
Prediction of histological grade and molecular subtypes of invasive breast cancer using mammographic growth rate in screening

European Journal of Cancer
J. Peters, N. Moriakov, J. Van Dijck, S. Elias, E. Lips, J. Wesseling, R. Mann, J. Teuwen, M. Caballo, M. Broeders, 2022, 175

doi
Auto-Segmentation of Oropharyngeal Cancer Primary Tumors Using Multiparametric MRI-Based Deep Learning

International Journal of Radiation Oncology*Biology*Physics
K. Wahid, S. Ahmed, R. He, L. Van Dijk, J. Teuwen, B. Mcdonald, V. Salama, A. Mohamed, T. Salzillo, C. Dede, N. Taku, S. Lai, C. Fuller, M. Naser, 2022, 112;(5):e31

doi
One-matrix differential reformulation of two-matrix models

Reviews in Mathematical Physics
J. Brunekreef, L. Lionni, J. Thürigen, 2022, 34;(08)

doi abstract
The phase structure and effective action of 3D CDT at higher spatial genus

Journal of High Energy Physics
J. Brunekreef, D. Németh, 2022, 2022;(9)

doi abstract
JorenB/3d-cdt: First release
J. Brunekreef, D. Németh, A. Görlich, 2022

doi abstract
Anatomically informed multi-level fiber tractography for targeted virtual dissection

Magnetic Resonance Materials in Physics, Biology and Medicine
A. Zhylka, A. Leemans, J. P. W. Pluim, A. De Luca, 2022, 36;(1):79-93

doi abstract
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

NeuroImage
C. Maffei, G. Girard, K. G. Schilling, D. B. Aydogan, N. Adluru, A. Zhylka, Y. Wu, M. Mancini, A. Hamamci, A. Sarica, A. Teillac, S. H. Baete, D. Karimi, F. Yeh, M. E. Yildiz, A. Gholipour, Y. Bihan-Poudec, B. Hiba, A. Quattrone, A. Quattrone, T. Boshkovski, N. Stikov, P. Yap, A. De Luca, J. Pluim, A. Leemans, V. Prabhakaran, B. B. Bendlin, A. L. Alexander, B. A. Landman, E. J. Canales-Rodríguez, M. Barakovic, J. Rafael-Patino, T. Yu, G. Rensonnet, S. Schiavi, A. Daducci, M. Pizzolato, E. Fischi-Gomez, J. Thiran, G. Dai, G. Grisot, N. Lazovski, S. Puch, M. Ramos, P. Rodrigues, V. Prčkovska, R. Jones, J. Lehman, S. N. Haber, A. Yendiki, 2022, 257

doi
HRD-related morphology discovery in breast cancer by controlling for confounding factors

Cell Reports Medicine
Y. Schirris, H. M. Horlings, 2022, 3;(12):100873

doi

2021

Charge-dependent flow induced by electromagnetic fields in heavy ion collisions

Nuclear Physics A
U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2021, 1005

doi
The near-horizon geometry of supersymmetric rotating AdS4 black holes in M-theory

Journal of High Energy Physics
C. Couzens, E. Marcus, K. Stemerdink, D. Van De Heisteeg, 2021, 2021;(5)

doi abstract
Subpixel object segmentation using wavelets and multi resolution analysis
R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, 2021

ArXiv abstract
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

European Radiology
S. L. Van Winkel, A. Rodríguez-Ruiz, L. Appelman, A. Gubern-Mérida, N. Karssemeijer, J. Teuwen, A. J. T. Wanders, I. Sechopoulos, R. M. Mann, 2021, 31;(11):8682-8691

doi abstract
Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing

Radiotherapy and Oncology
M. Garrett Fernandes, J. Bussink, B. Stam, R. Wijsman, D. A. Schinagl, R. Monshouwer, J. Teuwen, 2021, 165

doi
Diffusion weighted imaging for evaluation of breast lesions: Comparison between high b-value single-shot and routine readout-segmented sequences at 3 T

Magnetic Resonance Imaging
W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, I. Sechopoulos, R. M. Mann, 2021, 84

doi
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Machine Learning for Medical Image Reconstruction
P. M. Johnson, G. Jeong, K. Hammernik, J. Schlemper, C. Qin, J. Duan, D. Rueckert, J. Lee, N. Pezzotti, E. De Weerdt, S. Yousefi, M. S. Elmahdy, J. H. F. Van Gemert, C. Schülke, M. Doneva, T. Nielsen, S. Kastryulin, B. P. F. Lelieveldt, M. J. P. Van Osch, M. Staring, E. Z. Chen, P. Wang, X. Chen, T. Chen, V. M. Patel, S. Sun, H. Shin, Y. Jun, T. Eo, S. Kim, T. Kim, D. Hwang, P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan, M. Welling, M. J. Muckley, F. Knoll, 2021

doi
Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

Seminars in Cancer Biology
I. Sechopoulos, J. Teuwen, R. Mann, 2021, 72

doi
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Radiology
N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. Van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. Van Harten, N. Hendrix, W. Hendrix, H. J. Huisman, I. Išgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. Van Leeuwen, J. Meakin, M. Overkamp, T. Van Rees Vellinga, E. M. Van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. Scholten, C. Sital, J. L. Stöger, J. Teuwen, K. V. Venkadesh, C. De Vente, M. Vermaat, W. Xie, B. De Wilde, M. Prokop, B. Van Ginneken, 2021, 298;(1):E18-E28

doi
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

Medical Image Analysis
J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, 2021, 71

doi preprints
Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI

European Journal of Radiology
W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. A. Baltzer, I. Sechopoulos, R. M. Mann, 2021, 138

doi
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features

Journal of Medical Imaging
M. Caballo, A. M. Hernandez, S. H. Lyu, J. Teuwen, R. M. Mann, B. Van Ginneken, J. M. Boone, I. Sechopoulos, 2021, 8;(02)

doi
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge

Head and Neck Tumor Segmentation
C. Rao, S. Pai, I. Hadzic, I. Zhovannik, D. Bontempi, A. Dekker, J. Teuwen, A. Traverso, 2021

doi
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

IEEE Transactions on Medical Imaging
M. J. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha, S. Arberet, D. Nickel, Z. Ramzi, P. Ciuciu, J. Starck, J. Teuwen, D. Karkalousos, C. Zhang, A. Sriram, Z. Huang, N. Yakubova, Y. W. Lui, F. Knoll, 2021, 40;(9):2306-2317

doi preprints
Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning

Medical Physics
F. Ayatollahi, S. B. Shokouhi, R. M. Mann, J. Teuwen, 2021, 48;(10):5897-5907

doi preprints abstract
Sparse-shot learning with exclusive cross-entropy for extremely many localisations

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
A. Panteli, J. Teuwen, H. Horlings, E. Gavves, 2021

url preprints
Curvature profiles for quantum gravity

Physical Review D
J. Brunekreef, R. Loll, 2021, 103;(2)

doi
Quantum flatness in two-dimensional quantum gravity

Physical Review D
J. Brunekreef, R. Loll, 2021, 104;(12)

doi
JorenB/2d-cdt: First release
J. Brunekreef, A. Görlich, W. Van Der Feltz, 2021

doi abstract
Approximate Killing symmetries in non-perturbative quantum gravity

Classical and Quantum Gravity
J. Brunekreef, M. Reitz, 2021, 38;(13):135009

doi abstract
Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

NeuroImage
A. M. Radwan, L. Emsell, J. Blommaert, A. Zhylka, S. Kovacs, T. Theys, N. Sollmann, P. Dupont, S. Sunaert, 2021, 229

doi
Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

Frontiers in Oncology
A. Zhylka, N. Sollmann, F. Kofler, A. Radwan, A. De Luca, J. Gempt, B. Wiestler, B. Menze, S. M. Krieg, C. Zimmer, J. S. Kirschke, S. Sunaert, A. Leemans, J. P. W. Pluim, 2021, 11

doi abstract
cldice - a novel topology-preserving loss function for tubular structure segmentation

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
S. Shit, J. C. Paetzold, A. Sekuboyina, I. Ezhov, A. Unger, A. Zhylka, J. P. W. Pluim, U. Bauer, B. H. Menze, 2021

url
Reproducibility report: Towards visually explaining variational autoencoders

ML Reproducibility Challenge 2020
F. Brongers, B. Leijnse, L. Eshuijs, V. van Veldhuizen, 2021

url abstract

2020

Black holes in string theory with duality twists

Journal of High Energy Physics
C. Hull, E. Marcus, K. Stemerdink, S. Vandoren, 2020, 2020;(7)

doi abstract
Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis

6th International Conference on Image Formation in X-Ray Computed Tomography (CT-meeting)
K. Michielsen, N. Moriakov, J. Teuwen, I. Sechopoulos, 2020

ArXiv abstract
A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system

Physica Medica
I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U. A. Van Der Heide, A. Mans, 2020, 71

doi
Convolutional neural networks

Handbook of Medical Image Computing and Computer Assisted Intervention
J. Teuwen, N. Moriakov, 2020

doi
Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features

Journal of Vision
T. Kootstra, J. Teuwen, J. Goudsmit, T. Nijboer, M. Dodd, S. Van Der Stigchel, 2020, 20;(9):1

doi
Tussen data en theorie

Tijdschrift voor Toezicht
J. Goudsmit, J. Teuwen, 2020, 11;(1):48-53

doi
Kernel of cyclegan as a principal homogeneous space

International Conference on Learning Representations
N. Moriakov, J. Adler, J. Teuwen, 2020

url preprints
Computable Følner monotilings and a theorem of Brudno

Ergodic Theory and Dynamical Systems
N. Moriakov, 2020, 41;(11):3389-3416

doi abstract
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results

NeuroImage
L. Ning, E. Bonet-Carne, F. Grussu, F. Sepehrband, E. Kaden, J. Veraart, S. B. Blumberg, C. S. Khoo, M. Palombo, I. Kokkinos, D. C. Alexander, J. Coll-Font, B. Scherrer, S. K. Warfield, S. C. Karayumak, Y. Rathi, S. Koppers, L. Weninger, J. Ebert, D. Merhof, D. Moyer, M. Pietsch, D. Christiaens, R. A. Gomes Teixeira, J. Tournier, K. G. Schilling, Y. Huo, V. Nath, C. Hansen, J. Blaber, B. A. Landman, A. Zhylka, J. P. Pluim, G. Parker, U. Rudrapatna, J. Evans, C. Charron, D. K. Jones, C. M. Tax, 2020, 221

doi

2019

A new class of SYK-like models with maximal chaos

Journal of High Energy Physics
E. Marcus, S. Vandoren, 2019, 2019;(1)

doi abstract
i-RIM applied to the fastMRI challenge
P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan, M. Welling, 2019

ArXiv abstract

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