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. On retrospective k-space subsampling schemes for deep MRI reconstruction

   Magnetic Resonance Imaging

   G. Yiasemis, C. I. Sánchez, J. Sonke, J. Teuwen, 2024

   doi preprints abstract
3. 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
4. To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection

   L. Han, T. Tan, T. Zhang, Y. Gao, X. Wang, V. Longo, S. Ventura-Díaz, A. D'Angelo, J. Teuwen, R. Mann, 2024

   ArXiv abstract
5. Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT

   N. Moriakov, J. Sonke, J. Teuwen, 2024

   ArXiv abstract
6. Deep Cardiac MRI Reconstruction with ADMM

   Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers

   G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024

   doi preprints abstract
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

   doi abstract
8. Artificial intelligence and explanation: How, why, and when to explain black boxes

   European Journal of Radiology

   E. Marcus, J. Teuwen, 2024

   doi abstract
9. IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data

   Information Fusion

   T. Zhang, T. Tan, L. Han, X. Wang, Y. Gao, J. Van Dijk, A. Portaluri, A. Gonzalez-Huete, A. D’Angelo, C. Lu, J. Teuwen, R. Beets-Tan, Y. Sun, R. Mann, 2024, 108

   doi preprints abstract
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)

    doi abstract
11. 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
12. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

    Insights into Imaging

    B. Kocak, T. Akinci D’Antonoli, N. Mercaldo, A. Alberich-Bayarri, B. Baessler, I. Ambrosini, A. E. Andreychenko, S. Bakas, R. G. H. Beets-Tan, K. Bressem, I. Buvat, R. Cannella, L. A. Cappellini, A. U. Cavallo, L. L. Chepelev, L. C. H. Chu, A. Demircioglu, N. M. Desouza, M. Dietzel, S. C. Fanni, A. Fedorov, L. S. Fournier, V. Giannini, R. Girometti, K. B. W. Groot Lipman, G. Kalarakis, B. S. Kelly, M. E. Klontzas, D. Koh, E. Kotter, H. Y. Lee, M. Maas, L. Marti-Bonmati, H. Müller, N. Obuchowski, F. Orlhac, N. Papanikolaou, E. Petrash, E. Pfaehler, D. Pinto Dos Santos, A. Ponsiglione, S. Sabater, F. Sardanelli, P. Seeböck, N. M. Sijtsema, A. Stanzione, A. Traverso, L. Ugga, M. Vallières, L. V. Van Dijk, J. J. M. Van Griethuysen, R. W. Van Hamersvelt, P. Van Ooijen, F. Vernuccio, A. Wang, S. Williams, J. Witowski, Z. Zhang, A. Zwanenburg, R. Cuocolo, 2024, 15;(1)

    doi abstract
13. Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features

    Computers in Biology and Medicine

    M. Ahmadian, Z. Bodalal, H. J. Van Der Hulst, C. Vens, L. Karssemakers, N. Bogveradze, F. Castagnoli, F. Landolfi, E. K. Hong, N. Gennaro, A. D. Pizzi, R. G. Beets-Tan, M. W. Van Den Brekel, J. A. Castelijns, 2024

    doi
14. An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study

    npj Precision Oncology

    L. Cai, D. M. J. Lambregts, G. L. Beets, M. Mass, E. H. P. Pooch, C. Guérendel, R. G. H. Beets-Tan, S. Benson, 2024, 8;(1)

    doi abstract
15. Optimizing CycleGAN design for CBCT-to-CT translation: insights into 2D vs 3D modeling, patch size, and the need for tailored evaluation metrics

    Medical Imaging 2024: Image Processing

    I. Hadzic, S. Pai, V. Trier Taasti, D. Bontempi, I. Zhovannik, R. Canters, J. J. Sonke, A. Dekker, J. Teuwen, A. Traverso, 2024

    doi abstract
16. The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

    J. Lyu, C. Qin, S. Wang, F. Wang, Y. Li, Z. Wang, K. Guo, C. Ouyang, M. Tänzer, M. Liu, L. Sun, M. Sun, Q. Li, Z. Shi, S. Hua, H. Li, Z. Chen, Z. Zhang, B. Xin, D. N. Metaxas, G. Yiasemis, J. Teuwen, L. Zhang, W. Chen, Y. Pang, X. Liu, A. Razumov, D. V. Dylov, Q. Dou, K. Yan, Y. Xue, Y. Du, J. Dietlmeier, C. Garcia-Cabrera, Z. A. Hemidi, N. Vogt, Z. Xu, Y. Zhang, Y. Chu, W. Chen, W. Bai, X. Zhuang, J. Qin, L. Wu, G. Yang, X. Qu, H. Wang, C. Wang, 2024

    ArXiv abstract
17. Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.

    Cancer imaging: the official publication of the International Cancer Imaging Society

    S. Alaeikhanehshir, M. M. Voets, F. H. van Duijnhoven, E. H. Lips, E. J. Groen, M. C. J. van Oirsouw, S. E. Hwang, J. Y. Lo, J. Wesseling, R. M. Mann, J. Teuwen, 2024, 24;(1):48

    PubMed abstract
18. Large retrorectal spindle cell sarcoma: A case report and brief review of the literature

    Radiology Case Reports

    C. L. Petersen, M. R. Byriel, J. Shkurti, S. R. Rafaelsen, 2024, 19;(7):2684-2688

    doi
19. Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

    European Journal of Radiology Open

    T. M. Tareco Bucho, L. Petrychenko, M. A. Abdelatty, N. Bogveradze, Z. Bodalal, R. G. Beets-Tan, S. Trebeschi, 2024, 12

    doi
20. 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
21. 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
22. End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI

    G. Yiasemis, J. Sonke, J. Teuwen, 2024

    ArXiv 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. Nature of spatial universes in 3D Lorentzian quantum gravity

   Physical Review D

   J. Brunekreef, R. Loll, 2023, 107;(2)

   doi
4. Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history

   X. Wang, T. Tan, Y. Gao, R. Su, T. Zhang, L. Han, J. Teuwen, A. D’Angelo, C. A. Drukker, M. K. Schmidt, R. Beets-Tan, N. Karssemeijer, R. Mann, 2023

   doi abstract
5. Visualize what you learn: a well-explainable joint-learning framework based on multi-view mammograms and associated reports

   Y. Gao, H. Zhou, X. Wang, T. Zhang, R. Tan, L. Han, L. Estacio, A. D’Angelo, J. Teuwen, R. Mann, T. Tan, 2023

   doi abstract
6. 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
7. 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
8. Improving Lesion Volume Measurements on Digital Mammograms

   N. Moriakov, J. Peters, R. Mann, N. Karssemeijer, J. V. Dijck, M. Broeders, J. Teuwen, 2023

   ArXiv abstract
9. 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
10. Development, validation, and simplification of a scanner‐specific CT simulator

    Medical Physics

    S. A. M. Tunissen, L. J. Oostveen, N. Moriakov, J. Teuwen, K. Michielsen, E. J. Smit, I. Sechopoulos, 2023

    doi abstract
11. Joint machine learning and analytic track reconstruction for X-ray polarimetry with gas pixel detectors

    Astronomy & Astrophysics

    N. Cibrario, M. Negro, N. Moriakov, R. Bonino, L. Baldini, N. Di Lalla, L. Latronico, S. Maldera, A. Manfreda, N. Omodei, C. Sgró, S. Tugliani, 2023, 674

    doi abstract
12. Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping

    American Journal of Neuroradiology

    A. Zhylka, N. Sollmann, F. Kofler, A. Radwan, A. De Luca, J. Gempt, B. Wiestler, B. Menze, A. Schroeder, C. Zimmer, J. Kirschke, S. Sunaert, A. Leemans, S. Krieg, J. Pluim, 2023, 44;(3):283-290

    doi
13. vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems

    G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2023

    ArXiv abstract
14. IL-5-producing CD4+ T cells and eosinophils cooperate to enhance response to immune checkpoint blockade in breast cancer

    Cancer Cell

    O. S. Blomberg, L. Spagnuolo, H. Garner, L. Voorwerk, O. I. Isaeva, E. Van Dyk, N. Bakker, M. Chalabi, C. Klaver, M. Duijst, K. Kersten, M. Brüggemann, D. Pastoors, C. Hau, K. Vrijland, E. A. Raeven, D. Kaldenbach, K. Kos, I. S. Afonina, P. Kaptein, L. Hoes, W. S. Theelen, P. Baas, E. E. Voest, R. Beyaert, D. S. Thommen, L. F. Wessels, K. E. De Visser, M. Kok, 2023, 41;(1):106-123.e10

    doi
15. Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism

    Lecture Notes in Computer Science

    T. Zhang, L. Han, A. D’Angelo, X. Wang, Y. Gao, C. Lu, J. Teuwen, R. Beets-Tan, T. Tan, R. Mann, 2023

    doi abstract
16. Beyond the AJR: A Breakthrough in the Use of Artificial Intelligence for Mammography in Screening for Breast Cancer

    American Journal of Roentgenology

    R. M. Mann, J. Teuwen, 2023

    doi
17. End‐to‐end memory‐efficient reconstruction for cone beam CT

    Medical Physics

    N. Moriakov, J. Sonke, J. Teuwen, 2023, 12;(50):7579-7593

    doi preprints abstract
18. Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

    J. Brunekreef, E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2023

    ArXiv abstract
19. JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction

    G. Yiasemis, N. Moriakov, C. I. Sánchez, J. Sonke, J. Teuwen, 2023

    ArXiv abstract
20. Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI

    Medical Image Analysis

    L. Han, T. Tan, T. Zhang, Y. Huang, X. Wang, Y. Gao, J. Teuwen, R. Mann, 2023

    doi abstract
21. Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysis

    Insights into Imaging

    M. M. Van Leeuwen, S. Doyle, A. W. Van Den Belt–Dusebout, S. Van Der Mierden, C. E. Loo, R. M. Mann, J. Teuwen, J. Wesseling, 2023, 14;(1)

    doi abstract
22. Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders

    Cancer Prevention Through Early Detection

    V. Van Veldhuizen, S. Vadgama, O. De Boer, S. Meijer, E. J. Bekkers, 2023

    doi
23. Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors

    Journal of Medical Imaging

    S. D. Verboom, M. Caballo, J. Peters, J. Gommers, D. Van Den Oever, M. J. M. Broeders, J. Teuwen, I. Sechopoulos, 2023, 11;(01)

    doi abstract
24. 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
25. 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
26. 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
27. 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
28. 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