Publications

2023

  1. E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, "Constrained Empirical Risk Minimization: Theory and Practice", 2023-02-09
  2. T. Zhang, T. Tan, L. Han, X. Wang, Y. Gao, J. Teuwen, R. Beets-Tan, R. Mann, "IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data", 2023-02-03
  3. L. Han, T. Tan, T. Zhang, Y. Huang, X. Wang, Y. Gao, J. Teuwen, R. Mann, "Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI", 2023-02-01
  4. G. Yiasemis, C. I. Sánchez, J. Sonke, J. Teuwen, "On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction", 2023-01-20
  5. B. P. Y. Kwee, M. Messemaker, E. Marcus, G. Oliveira, W. Scheper, C. J. Wu, J. Teuwen, T. N. Schumacher, "STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data", 2023-04-28
  6. J. Brunekreef, R. Loll, "Nature of spatial universes in 3D Lorentzian quantum gravity", Physical Review D, 2023-01-19, 107;(2)

2022

  1. T. O'Briain, C. Uribe, K. M. Yi, J. Teuwen, I. Sechopoulos, M. Bazalova-Carter, "FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging", 2022-05-27
  2. N. Moriakov, J. Sonke, J. Teuwen, "LIRE: Learned Invertible Reconstruction for Cone Beam CT", 2022-05-15
  3. 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. Balana, 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. v. d. Voort, A. Alafandi, F. Incekara, M. M. Wijnenga, G. Kapsas, R. Gahrmann, J. W. Schouten, H. J. Dubbink, A. J. Vincent, M. J. v. d. 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, D. Oyekunle, O. Odafe-Oyibotha, B. Osobu, M. Shu'aibu, A. Dorcas, M. Soneye, 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, "Federated Learning Enables Big Data for Rare Cancer Boundary Detection", 2022-04-22
  4. K. A. Wahid, S. Ahmed, R. He, L. V. Van Dijk, J. Teuwen, B. A. Mcdonald, V. Salama, A. S. Mohamed, T. Salzillo, C. Dede, N. Taku, S. Y. Lai, C. D. Fuller, M. A. Naser, "Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry", Clinical and Translational Radiation Oncology, 2022-01-01, 32
  5. Y. Schirris, E. Gavves, I. Nederlof, H. M. Horlings, J. Teuwen, "DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer", Medical Image Analysis, 2022-07-01, 79
  6. L. Balkenende, J. Teuwen, R. M. Mann, "Application of Deep Learning in Breast Cancer Imaging", Seminars in Nuclear Medicine, 2022-09-01, 52;(5):584-596
  7. Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. Kumar Jethi, J. Chandra Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, "Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations", Frontiers in Neuroscience, 2022-07-06, 16
  8. G. Yiasemis, N. Moriakov, D. Karkalousos, M. Caan, J. Teuwen, "DIRECT: Deep Image REConstruction Toolkit", Journal of Open Source Software, 2022-05-30, 7;(73):4278
  9. G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, "Deep MRI reconstruction with radial subsampling", Medical Imaging 2022: Physics of Medical Imaging, 2022-04-04
  10. R. Hou, L. J. Grimm, M. A. Mazurowski, J. R. Marks, L. M. King, C. C. Maley, T. Lynch, M. Van Oirsouw, K. Rogers, N. Stone, M. Wallis, J. Teuwen, J. Wesseling, E. S. Hwang, J. Y. Lo, "Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features", Radiology, 2022-04-01, 303;(1):54-62
  11. J. Peters, N. Moriakov, J. Van Dijck, S. Elias, E. Lips, J. Wesseling, R. Mann, J. Teuwen, M. Caballo, M. Broeders, "Prediction of histological grade and molecular subtypes of invasive breast cancer using mammographic growth rate in screening", European Journal of Cancer, 2022-11-01, 175
  12. R. Samperna, N. Moriakov, N. Karssemeijer, J. Teuwen, R. M. Mann, "Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI", Diagnostics, 2022-07-11, 12;(7):1690
  13. S. D. Verboom, M. Caballo, M. J. M. Broeders, J. Teuwen, I. Sechopoulos, "Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors", Medical Imaging 2022: Image Processing, 2022-04-04
  14. P. S. Kronemeijer, E. Gavves, J. Sonke, J. Teuwen, "Tumor tracking in 4D CT images for adaptive radiotherapy", Medical Imaging 2022: Image Processing, 2022-04-04
  15. S. Doyle, F. Dal Canton, J. Wesseling, C. I. Sánchez, J. Teuwen, "Mammary duct detection using self-supervised encoders", Medical Imaging 2022: Computer-Aided Diagnosis, 2022-04-04
  16. S. Tunissen, L. J. Oostveen, N. Moriakov, J. Teuwen, K. Michielsen, E. J. Smit, I. Sechopoulos, "Development and validation of a clinical CT system simulator", Medical Imaging 2022: Physics of Medical Imaging, 2022-04-04
  17. 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, "Auto-Segmentation of Oropharyngeal Cancer Primary Tumors Using Multiparametric MRI-Based Deep Learning", International Journal of Radiation Oncology*Biology*Physics, 2022-04-01, 112;(5):e31
  18. S. Eskreis-Winkler, J. Teuwen, S. Benson, "Breast imaging and deep learning: past, present, and future", Advances in Magnetic Resonance Technology and Applications, 2022-01-01

2021

  1. G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, "Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction", 2021-11-18
  2. R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, "Subpixel object segmentation using wavelets and multi resolution analysis", 2021-10-28
  3. Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, "WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need", 2021-09-13
  4. G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, "Deep MRI Reconstruction with Radial Subsampling", 2021-08-17
  5. Y. Schirris, E. Gavves, I. Nederlof, H. M. Horlings, J. Teuwen, "DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images", 2021-07-20
  6. A. Panteli, J. Teuwen, H. Horlings, E. Gavves, "Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations", 2021-04-21
  7. F. Ayatollahi, S. B. Shokouhi, R. M. Mann, J. Teuwen, "Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning", 2021-02-07
  8. 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, "Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study", European Radiology, 2021-05-04, 31;(11):8682-8691
  9. M. Garrett Fernandes, J. Bussink, B. Stam, R. Wijsman, D. A. Schinagl, R. Monshouwer, J. Teuwen, "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, 2021-12-01, 165
  10. W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, I. Sechopoulos, R. M. Mann, "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, 2021-12-01, 84
  11. 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, "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, 2021-01-01
  12. I. Sechopoulos, J. Teuwen, R. Mann, "Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art", Seminars in Cancer Biology, 2021-07-01, 72
  13. 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, "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, 2021-01-01, 298;(1):E18-E28
  14. J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, "Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation", Medical Image Analysis, 2021-07-01, 71
  15. W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. A. Baltzer, I. Sechopoulos, R. M. Mann, "Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI", European Journal of Radiology, 2021-05-01, 138
  16. K. A. Wahid, S. Ahmed, R. He, L. V. Van Dijk, J. Teuwen, B. A. Mcdonald, V. Salama, A. S. Mohamed, T. Salzillo, C. Dede, N. Taku, S. Y. Lai, C. D. Fuller, M. A. Naser, "Development of a High-Performance Multiparametric MRI Oropharyngeal Primary Tumor Auto-Segmentation Deep Learning Model and Investigation of Input Channel Effects: Results from a Prospective Imaging Registry", 2021-07-30