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
    doi
    Abstract
  2. Artificial intelligence and explanation: How, why, and when to explain black boxes
    European Journal of Radiology
    E. Marcus, J. Teuwen, 2024
    doi
    Abstract
  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
    doi preprints
    Abstract
  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
    PubMed
    Abstract
  5. 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
    doi
    Abstract
  6. 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
    doi
    Abstract
  7. 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
    doi
    Abstract
  8. 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)
    doi
    Abstract

2023

  1. Constrained Empirical Risk Minimization: Theory and Practice
    E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2023
    ArXiv
    Abstract
  2. 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
    doi
    Abstract
  3. Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
    J. Brunekreef, E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2023
    ArXiv
    Abstract
  4. 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
    doi
    Abstract
  5. 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
    doi
    Abstract
  6. 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
    ArXiv
    Abstract
  7. 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
    doi
    Abstract
  8. 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
    doi
    Abstract
  9. 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
    doi
    Abstract
  10. 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)
    doi
    Abstract
  11. 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
    doi
    Abstract
  12. 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)
    doi
    Abstract
  13. 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
    doi
    Abstract
  14. 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)
    doi
    Abstract
  15. 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
    doi
    Abstract
  16. 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)
    doi
    Abstract
  17. 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
    doi
    Abstract
  18. 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
    doi
    Abstract
  19. 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
    doi
    Abstract
  20. 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
    doi
    Abstract
  21. 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
    doi
    Abstract
  22. 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)
    doi
    Abstract

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
    doi preprints
    Abstract
  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
    doi
    Abstract
  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
    doi
    Abstract
  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
    doi
    Abstract

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
    doi
    Abstract
  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)
    doi
    Abstract
  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
    url preprints
    Abstract

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)
    doi
    Abstract

2019

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

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)
    doi
    Abstract

2016

  1. Magnetohydrodynamics and charged flow in heavy ion collisions
    Nuclear Physics A
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, 2016, 956
    doi
    Abstract