Publications

2024

  1. Artificial Intelligence-Enhanced Breast MRI
    Investigative Radiology
    R. Lo Gullo, E. Marcus, J. Huayanay, S. Eskreis-Winkler, S. Thakur, J. Teuwen, K. Pinker, 2024
    Abstract
    Loading...
  2. Artificial intelligence and explanation: How, why, and when to explain black boxes
    European Journal of Radiology
    E. Marcus, J. Teuwen, 2024
    Abstract
    Loading...
  3. Nodule detection and generation on chest X-rays: NODE21 Challenge
    IEEE Transactions on Medical Imaging
    E. Sogancioglu, B. Van Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. T. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. I. Sánchez, K. Murphy, 2024
    Abstract
    Loading...
  4. AI Applications to Breast MRI: Today and Tomorrow.
    Journal of magnetic resonance imaging: JMRI
    R. Lo Gullo, J. Brunekreef, E. Marcus, L. K. Han, S. Eskreis-Winkler, S. B. Thakur, R. Mann, K. Groot Lipman, J. Teuwen, K. Pinker, 2024
    Abstract
    Loading...
  5. Task-driven wavelets using constrained empirical risk minimization
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2024
    Abstract
    Loading...
  6. Kandinsky conformal prediction: Efficient calibration of image segmentation algorithms
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    J. Brunekreef, E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2024
    Abstract
    Loading...
  7. Does “One Size Fits All”? Rethinking FIGO Depth of Invasion Measurements in Vulvar Cancer
    International Journal of Gynecological Pathology
    M. C. Bleeker, T. Bosse, K. K. Van De Vijver, J. Bart, H. Horlings, T. G. Jonges, N. C. Visser, L. F. Kooreman, J. Bulten, P. C. Ewing-Graham, 2024
    Abstract
    Loading...
  8. Abstract 4951: Integrative multi-omic machine learning model predicts neoadjuvant immunotherapy response using molecular data and deep learning-derived features from digital pathology
    Cancer Research
    L. V. Leek, V. Botha, V. A. Baxi, J. Teuwen, H. M. Horlings, S. D. Chasalow, J. V. D. Haar, L. F. Wessels, A. Debroy, E. E. Voest, 2024, 84;(6_Supplement):4951-4951
    Abstract
    Loading...
  9. Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
    The Journal of Pathology
    C. A. Jahangir, D. B. Page, G. Broeckx, C. A. Gonzalez, C. Burke, C. Murphy, J. S. Reis‐Filho, A. Ly, P. W. Harms, R. R. Gupta, M. Vieth, A. I. Hida, M. Kahila, Z. Kos, P. J. Van Diest, S. Verbandt, J. Thagaard, R. Khiroya, K. Abduljabbar, G. Acosta Haab, B. Acs, S. Adams, J. S. Almeida, I. Alvarado‐Cabrero, F. Azmoudeh‐Ardalan, S. Badve, N. B. Baharun, E. R. Bellolio, V. Bheemaraju, K. R. Blenman, L. Botinelly Mendonça Fujimoto, O. Burgues, A. Chardas, M. C. U. Cheang, F. Ciompi, L. A. Cooper, A. Coosemans, G. Corredor, F. L. Dantas Portela, F. Deman, S. Demaria, S. N. Dudgeon, M. Elghazawy, C. Fernandez‐Martín, S. Fineberg, S. B. Fox, J. M. Giltnane, S. Gnjatic, P. I. Gonzalez‐Ericsson, A. Grigoriadis, N. Halama, M. G. Hanna, A. Harbhajanka, S. N. Hart, J. Hartman, S. Hewitt, H. M. Horlings, Z. Husain, S. Irshad, E. A. Janssen, T. R. Kataoka, K. Kawaguchi, A. I. Khramtsov, U. Kiraz, P. Kirtani, L. L. Kodach, K. Korski, G. Akturk, E. Scott, A. Kovács, A. Lænkholm, C. Lang‐Schwarz, D. Larsimont, J. K. Lennerz, M. Lerousseau, X. Li, A. Madabhushi, S. K. Maley, V. Manur Narasimhamurthy, D. K. Marks, E. S. Mcdonald, R. Mehrotra, S. Michiels, D. Kharidehal, F. U. A. A. Minhas, S. Mittal, D. A. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault‐Llorca, R. D. Perera, C. J. Pinard, J. C. Pinto‐Cardenas, G. Pruneri, L. Pusztai, N. M. Rajpoot, B. L. Rapoport, T. T. Rau, J. M. Ribeiro, D. Rimm, A. Vincent‐Salomon, J. Saltz, S. Sayed, E. Hytopoulos, S. Mahon, K. P. Siziopikou, C. Sotiriou, A. Stenzinger, M. A. Sughayer, D. Sur, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. A. Thompson, T. Tramm, W. T. Tran, J. Van Der Laak, G. E. Verghese, G. Viale, N. Wahab, T. Walter, Y. Waumans, H. Y. Wen, W. Yang, Y. Yuan, J. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, E. Specht Stovgaard, R. Salgado, W. M. Gallagher, A. Rahman, 2024
    Abstract
    Loading...
  10. An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
    npj Precision Oncology
    P. C. Neto, D. Montezuma, S. P. Oliveira, D. Oliveira, J. Fraga, A. Monteiro, J. Monteiro, L. Ribeiro, S. Gonçalves, S. Reinhard, I. Zlobec, I. M. Pinto, J. S. Cardoso, 2024, 8;(1)
    Abstract
    Loading...

2023

  1. STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data
    B. P. Y. Kwee, M. Messemaker, E. Marcus, G. Oliveira, W. Scheper, C. J. Wu, J. Teuwen, T. N. Schumacher, 2023
    Abstract
    Loading...
  2. Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
    Cell Reports Medicine
    J. M. Niehues, P. Quirke, N. P. West, H. I. Grabsch, M. Van Treeck, Y. Schirris, G. P. Veldhuizen, G. G. Hutchins, S. D. Richman, S. Foersch, T. J. Brinker, J. Fukuoka, A. Bychkov, W. Uegami, D. Truhn, H. Brenner, A. Brobeil, M. Hoffmeister, J. N. Kather, 2023, 4;(4):100980
    Abstract
    Loading...
  3. 1240P Multi-centric validation of an AI-based sTIL% scoring model for breast cancer H&E whole-slide images
    Annals of Oncology
    Y. Schirris, R. Voorthuis, M. Opdam, E. Gavves, R. De Menezes, S. Linn, H. Horlings, 2023, 34
    Abstract
    Loading...
  4. PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling
    C. Walker, T. Talawalla, R. Toth, A. Ambekar, K. Rea, O. Chamian, F. Fan, S. Berezowska, S. Rottenberg, A. Madabhushi, M. Maillard, L. Barisoni, H. M. Horlings, A. Janowczyk, 2023
    Abstract
    Loading...
  5. The prognostic value of tumor-stroma ratio and a newly developed computer-aided quantitative analysis of routine H&E slides in high-grade serous ovarian cancer
    L. V. Wagensveld, C. Walker, K. Hahn, J. Sanders, R. Kruitwagen, M. V. D. Aa, G. Sonke, S. Rottenberg, K. V. De Vijver, A. Janowczyk, H. Horlings, 2023
    Abstract
    Loading...
  6. Abstract P3-06-01: Unleashing NK- and CD8 T cells by combining monalizumab (anti-NKG2A) and trastuzumab for metastatic HER2+ breast cancer: first results MIMOSA trial
    Cancer Research
    V. Geurts, L. Voorwerk, K. Sikorska, R. Salgado, K. Van De Vijver, M. Van Dongen, I. Kemper, I. A. Mandjes, M. Heuver-Mes, J. Haanen, G. S. Sonke, H. Horlings, M. Kok, 2023, 83;(5_Supplement):P3-06-01-P3-06-01
    Abstract
    Loading...
  7. RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease
    Cell Reports Medicine
    T. Zhang, T. Tan, X. Wang, Y. Gao, L. Han, L. Balkenende, A. D’Angelo, L. Bao, H. M. Horlings, J. Teuwen, R. G. Beets-Tan, R. M. Mann, 2023
    Abstract
    Loading...
  8. PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
    Breast Cancer Research
    W. Aswolinskiy, E. Munari, H. M. Horlings, L. Mulder, G. Bogina, J. Sanders, Y. Liu, A. W. Van Den Belt-Dusebout, L. Tessier, M. Balkenhol, M. Stegeman, J. Hoven, J. Wesseling, J. Van Der Laak, E. H. Lips, F. Ciompi, 2023, 25;(1)
    Abstract
    Loading...
  9. CMTM6 shapes antitumor T cell response through modulating protein expression of CD58 and PD-L1
    Cancer Cell
    B. Miao, Z. Hu, R. Mezzadra, L. Hoeijmakers, A. Fauster, S. Du, Z. Yang, M. Sator-Schmitt, H. Engel, X. Li, C. Broderick, G. Jin, R. Gomez-Eerland, L. Rozeman, X. Lei, H. Matsuo, C. Yang, I. Hofland, D. Peters, A. Broeks, E. Laport, A. Fitz, X. Zhao, M. A. Mahmoud, X. Ma, S. Sander, H. Liu, G. Cui, Y. Gan, W. Wu, Y. Xiao, A. J. Heck, W. Guan, S. W. Lowe, H. M. Horlings, C. Wang, T. R. Brummelkamp, C. U. Blank, T. N. Schumacher, C. Sun, 2023, 41;(10):1817-1828.e9
    Abstract
    Loading...
  10. B-cells and regulatory T-cells in the microenvironment of HER2+ breast cancer are associated with decreased survival: a real-world analysis of women with HER2+ metastatic breast cancer
    Breast Cancer Research
    T. G. Steenbruggen, D. M. Wolf, M. J. Campbell, J. Sanders, S. Cornelissen, B. Thijssen, R. A. Salgado, C. Yau, N. O-Grady, A. Basu, R. Bhaskaran, L. Mittempergher, G. L. Hirst, J. Coppe, M. Kok, G. S. Sonke, L. J. Van ‘T Veer, H. M. Horlings, 2023, 25;(1)
    Abstract
    Loading...
  11. Characterization of the Tumor Microenvironment of De Novo Oligometastatic Breast Cancer in a Nationwide Cohort
    JCO Precision Oncology
    T. G. Steenbruggen, D. M. Wolf, B. Thijssen, J. Sanders, S. Cornelissen, R. Salgado, L. Mittempergher, R. Bhaskaran, A. Broeks, E. H. Lips, S. Siesling, G. S. Sonke, H. M. Horlings, L. J. Van ’T Veer, 2023
    Abstract
    Loading...
  12. Immune landscape of breast tumors with low and intermediate estrogen receptor expression
    npj Breast Cancer
    L. Voorwerk, J. Sanders, M. S. Keusters, S. Balduzzi, S. Cornelissen, M. Duijst, E. H. Lips, G. S. Sonke, S. C. Linn, H. M. Horlings, M. Kok, 2023, 9;(1)
    Abstract
    Loading...
  13. PD-L1 blockade in combination with carboplatin as immune induction in metastatic lobular breast cancer: the GELATO trial
    Nature Cancer
    L. Voorwerk, O. I. Isaeva, H. M. Horlings, S. Balduzzi, M. Chelushkin, N. A. M. Bakker, E. Champanhet, H. Garner, K. Sikorska, C. E. Loo, I. Kemper, I. A. M. Mandjes, M. De Maaker, J. J. L. Van Geel, J. Boers, M. De Boer, R. Salgado, M. G. J. Van Dongen, G. S. Sonke, K. E. De Visser, T. N. Schumacher, C. U. Blank, L. F. A. Wessels, A. Jager, V. C. G. Tjan-Heijnen, C. P. Schröder, S. C. Linn, M. Kok, 2023, 4;(4):535-549
    Abstract
    Loading...
  14. Predicting breast cancer types on and beyond molecular level in a multi-modal fashion
    npj Breast Cancer
    T. Zhang, T. Tan, L. Han, L. Appelman, J. Veltman, R. Wessels, K. M. Duvivier, C. Loo, Y. Gao, X. Wang, H. M. Horlings, R. G. H. Beets-Tan, R. M. Mann, 2023, 9;(1)
    Abstract
    Loading...
  15. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
    The Journal of Pathology
    D. B. Page, G. Broeckx, C. A. Jahangir, S. Verbandt, R. R. Gupta, J. Thagaard, R. Khiroya, Z. Kos, K. Abduljabbar, G. Acosta Haab, B. Acs, J. S. Almeida, I. Alvarado‐Cabrero, F. Azmoudeh‐Ardalan, S. Badve, N. B. Baharun, E. R. Bellolio, V. Bheemaraju, K. R. Blenman, L. Botinelly Mendonça Fujimoto, O. Burgues, M. C. U. Cheang, F. Ciompi, L. A. Cooper, A. Coosemans, G. Corredor, F. L. Dantas Portela, F. Deman, S. Demaria, S. N. Dudgeon, M. Elghazawy, S. Ely, C. Fernandez‐Martín, S. Fineberg, S. B. Fox, W. M. Gallagher, J. M. Giltnane, S. Gnjatic, P. I. Gonzalez‐Ericsson, A. Grigoriadis, N. Halama, M. G. Hanna, A. Harbhajanka, A. Hardas, S. N. Hart, J. Hartman, S. Hewitt, A. I. Hida, H. M. Horlings, Z. Husain, E. Hytopoulos, S. Irshad, E. A. Janssen, M. Kahila, T. R. Kataoka, K. Kawaguchi, D. Kharidehal, A. I. Khramtsov, U. Kiraz, P. Kirtani, L. L. Kodach, K. Korski, A. Kovács, A. Laenkholm, C. Lang‐Schwarz, D. Larsimont, J. K. Lennerz, M. Lerousseau, X. Li, A. Ly, A. Madabhushi, S. K. Maley, V. Manur Narasimhamurthy, D. K. Marks, E. S. Mcdonald, R. Mehrotra, S. Michiels, F. U. A. A. Minhas, S. Mittal, D. A. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault‐Llorca, R. D. Perera, C. J. Pinard, J. C. Pinto‐Cardenas, G. Pruneri, L. Pusztai, A. Rahman, N. M. Rajpoot, B. L. Rapoport, T. T. Rau, J. S. Reis‐Filho, J. M. Ribeiro, D. Rimm, A. Salomon, M. Salto‐Tellez, J. Saltz, S. Sayed, K. P. Siziopikou, C. Sotiriou, A. Stenzinger, M. A. Sughayer, D. Sur, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. A. Thompson, T. Tramm, W. T. Tran, J. Van Der Laak, P. J. Van Diest, G. E. Verghese, G. Viale, M. Vieth, N. Wahab, T. Walter, Y. Waumans, H. Y. Wen, W. Yang, Y. Yuan, S. Adams, J. M. S. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, R. Salgado, E. Specht Stovgaard, G. Akturk, N. Bouchmaa, 2023
    Abstract
    Loading...
  16. Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
    The Journal of Pathology
    J. Thagaard, G. Broeckx, D. B. Page, C. A. Jahangir, S. Verbandt, Z. Kos, R. Gupta, R. Khiroya, K. Abduljabbar, G. Acosta Haab, B. Acs, G. Akturk, J. S. Almeida, I. Alvarado‐Cabrero, M. Amgad, F. Azmoudeh‐Ardalan, S. Badve, N. B. Baharun, E. Balslev, E. R. Bellolio, V. Bheemaraju, K. R. Blenman, L. Botinelly Mendonça Fujimoto, N. Bouchmaa, O. Burgues, A. Chardas, M. Chon U Cheang, F. Ciompi, L. A. Cooper, A. Coosemans, G. Corredor, A. B. Dahl, F. L. Dantas Portela, F. Deman, S. Demaria, J. Doré Hansen, S. N. Dudgeon, T. Ebstrup, M. Elghazawy, C. Fernandez‐Martín, S. B. Fox, W. M. Gallagher, J. M. Giltnane, S. Gnjatic, P. I. Gonzalez‐Ericsson, A. Grigoriadis, N. Halama, M. G. Hanna, A. Harbhajanka, S. N. Hart, J. Hartman, S. Hauberg, S. Hewitt, A. I. Hida, H. M. Horlings, Z. Husain, E. Hytopoulos, S. Irshad, E. A. Janssen, M. Kahila, T. R. Kataoka, K. Kawaguchi, D. Kharidehal, A. I. Khramtsov, U. Kiraz, P. Kirtani, L. L. Kodach, K. Korski, A. Kovács, A. Laenkholm, C. Lang‐Schwarz, D. Larsimont, J. K. Lennerz, M. Lerousseau, X. Li, A. Ly, A. Madabhushi, S. K. Maley, V. Manur Narasimhamurthy, D. K. Marks, E. S. Mcdonald, R. Mehrotra, S. Michiels, F. U. A. A. Minhas, S. Mittal, D. A. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault‐Llorca, R. D. Perera, C. J. Pinard, J. C. Pinto‐Cardenas, G. Pruneri, L. Pusztai, A. Rahman, N. M. Rajpoot, B. L. Rapoport, T. T. Rau, J. S. Reis‐Filho, J. M. Ribeiro, D. Rimm, A. Roslind, A. Vincent‐Salomon, M. Salto‐Tellez, J. Saltz, S. Sayed, E. Scott, K. P. Siziopikou, C. Sotiriou, A. Stenzinger, M. A. Sughayer, D. Sur, S. Fineberg, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. A. Thompson, T. Tramm, W. T. Tran, J. Van Der Laak, P. J. Van Diest, G. E. Verghese, G. Viale, M. Vieth, N. Wahab, T. Walter, Y. Waumans, H. Y. Wen, W. Yang, Y. Yuan, R. M. Zin, S. Adams, J. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, R. Salgado, E. Specht Stovgaard, 2023, 260;(5):498-513
    Abstract
    Loading...
  17. 474P ctDNA-based copy number dynamics during anti-PD1 treatment in patients with metastatic triple-negative breast cancer
    Annals of Oncology
    A. Lin, O. Isaeva, D. Vessies, T. Deger, L. Voorwerk, V. Geurts, H. Horlings, J. Martens, L. Wessels, D. Van Den Broek, M. Kok, 2023, 34
    Abstract
    Loading...
  18. 163MO Single-cell T cell dynamics induced by neoadjuvant nivolumab +/- ipilimumab in early triple negative breast cancer with tumor-infiltrating lymphocytes (BELLINI trial)
    Immuno-Oncology and Technology
    O. Isaeva, I. Nederlof, M. De Graaf, B. Boeckx, J. Traets, I. Mandjes, K. Van De Vijver, M. Chelushkin, C. Drukker, M. Dongen, G. Sonke, S. Linn, C. Blank, K. De Visser, R. Salgado, L. Wessels, T. Schumacher, H. Horlings, D. Lambrechts, M. Kok, 2023, 20
    Abstract
    Loading...
  19. Unleashing NK- and CD8 T cells by combining monalizumab and trastuzumab for metastatic HER2-positive breast cancer: Results of the MIMOSA trial
    The Breast
    V. Geurts, L. Voorwerk, S. Balduzzi, R. Salgado, K. Van De Vijver, M. Van Dongen, I. Kemper, I. Mandjes, M. Heuver, W. Sparreboom, J. Haanen, G. Sonke, H. Horlings, M. Kok, 2023, 70
    Abstract
    Loading...
  20. BluePrint molecular subtypes predict response to neoadjuvant pertuzumab in HER2-positive breast cancer
    Breast Cancer Research
    M. C. Liefaard, A. Van Der Voort, M. S. Van Ramshorst, J. Sanders, S. Vonk, H. M. Horlings, S. Siesling, L. De Munck, A. E. Van Leeuwen, M. Kleijn, L. Mittempergher, M. M. Kuilman, A. M. Glas, J. Wesseling, E. H. Lips, G. S. Sonke, 2023, 25;(1)
    Abstract
    Loading...

2022

  1. 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
    Abstract
    Loading...
  2. 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
    Y. Schirris, E. Gavves, I. Nederlof, H. M. Horlings, J. Teuwen, 2022, 79
    Abstract
    Loading...
  3. HRD-related morphology discovery in breast cancer by controlling for confounding factors
    Cell Reports Medicine
    Y. Schirris, H. M. Horlings, 2022, 3;(12):100873
    Abstract
    Loading...
  4. Establishment of the Dutch Nationwide, Interdisciplinary Infrastructure and Biobank for Fundamental and Translational Ovarian Cancer Research: Archipelago of Ovarian Cancer Research
    Gynecologic and Obstetric Investigation
    H. S. Zelisse, M. D. Van Gent, S. De Ridder, M. A. Van Der Aa, A. M. Van Altena, J. Bart, J. A. Belien, I. A. Boere, S. L. Bosch, A. Broeks, J. Bulten, M. Collée, F. H. Groenendijk, H. M. Horlings, M. P. Jansen, T. G. Jonges, L. F. Kooreman, C. D. De Kroon, S. Lambrechts, C. A. Lok, J. M. Piek, A. K. Reyners, E. Roes, M. Simons, G. B. A. Wisman, R. Yigit, R. P. Zweemer, C. H. Mom, M. J. Van De Vijver, F. Dijk, 2022, 87;(6):389-397
    Abstract
    Loading...

2021

  1. 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
    Abstract
    Loading...
  2. 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)
    Abstract
    Loading...
  3. 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
    Abstract
    Loading...

2020

  1. Black holes in string theory with duality twists
    Journal of High Energy Physics
    C. Hull, E. Marcus, K. Stemerdink, S. Vandoren, 2020, 2020;(7)
    Abstract
    Loading...

2019

  1. A new class of SYK-like models with maximal chaos
    Journal of High Energy Physics
    E. Marcus, S. Vandoren, 2019, 2019;(1)
    Abstract
    Loading...

2018

  1. Charge-dependent flow induced by magnetic and electric fields in heavy ion collisions
    Physical Review C
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2018, 98;(5)
    Abstract
    Loading...