Publications

2024

Papers in international journals

  1. A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, O. Rouvière, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, C. Noordman, I. Slootweg, C. Roest, S. Fransen, M. Sunoqrot, T. Bathen, D. Rouw, J. Immerzeel, J. Geerdink, C. van Run, M. Groeneveld, J. Meakin, A. Karagöz, A. Bône, A. Routier, A. Marcoux, C. Abi-Nader, C. Li, D. Feng, D. Alis, E. Karaarslan, E. Ahn, F. Nicolas, G. Sonn, I. Bhattacharya, J. Kim, J. Shi, H. Jahanandish, H. An, H. Kan, I. Oksuz, L. Qiao, M. Rohé, M. Yergin, M. Khadra, M. Şeker, M. Kartal, N. Debs, R. Fan, S. Saunders, S. Soerensen, S. Moroianu, S. Vesal, Y. Yuan, A. Malakoti-Fard, A. Mačiūnien, A. Kawashima, A. de de Machadov, A. Moreira, A. Ponsiglione, A. Rappaport, A. Stanzione, A. Ciuvasovas, B. Turkbey, B. de Keyzer, B. Pedersen, B. Eijlers, C. Chen, C. Riccardo, D. Alis, E. Courrech Staal, F. Jäderling, F. Langkilde, G. Aringhieri, G. Brembilla, H. Son, H. Vanderlelij, H. Raat, I. Pikūnienė, I. Macova, I. Schoots, I. Caglic, J. Zawaideh, J. Wallström, L. Bittencourt, M. Khurram, M. Choi, N. Takahashi, N. Tan, P. Franco, P. Gutierrez, P. Thimansson, P. Hanus, P. Puech, P. Rau, P. de Visschere, R. Guillaume, R. Cuocolo, R. Falcão, R. van Stiphout, R. Girometti, R. Briediene, R. Grigienė, S. Gitau, S. Withey, S. Ghai, T. Penzkofer, T. Barrett, V. Tammisetti, V. Løgager, V. Černý, W. Venderink, Y. Law, Y. Lee, M. de Rooij and H. Huisman, "Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study", The Lancet Oncology, 2024;25(7):879-887.
    Abstract DOI PMID
  2. E. Smeets, M. Trajkovic-Arsic, D. Geijs, S. Karakaya, M. van Zanten, L. Brosens, B. Feuerecker, M. Gotthardt, J. Siveke, R. Braren, F. Ciompi and E. Aarntzen, "Histology-Based Radiomics for [18F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer", Journal of Nuclear Medicine, 2024:jnumed.123.266262.
    Abstract DOI PMID
  3. P. Vendittelli, J. Bokhorst, E. Smeets, V. Kryklyva, L. Brosens, C. Verbeke and G. Litjens, "Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer", PLOS ONE, 2024;19:e0301969.
    Abstract DOI PMID
  4. S. Schalekamp, K. van Leeuwen, E. Calli, K. Murphy, M. Rutten, B. Geurts, L. Peters-Bax, B. van Ginneken and M. Prokop, "Performance of AI to exclude normal chest radiographs to reduce radiologists' workload", European Radiology, 2024.
    Abstract DOI PMID
  5. Q. van Lohuizen, C. Roest, F. Simonis, S. Fransen, T. Kwee, D. Yakar and H. Huisman, "Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics", European Radiology, 2024.
    Abstract DOI PMID
  6. A. Scott, M. Limbada, T. Perumal, S. Jaumdally, A. Kotze, C. van der Merwe, M. Cheeba, D. Milimo, K. Murphy, B. van Ginneken, M. de Kock, R. Warren, P. Gina, J. Swanepoel, L. Kühn, S. Oelofse, A. Pooran, A. Esmail, H. Ayles and K. Dheda, "Integrating molecular and radiological screening tools during community-based active case-finding for tuberculosis and COVID-19 in southern Africa", International Journal of Infectious Diseases, 2024:107081.
    Abstract DOI PMID
  7. S. Fransen, C. Roest, Q. Van Lohuizen, J.S. Bosma, F. Simonis, T. Kwee, D. Yakar and H. Huisman, "Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences", European Journal of Radiology, 2024;175:111470.
    Abstract DOI PMID
  8. N. Hendrix, W. Hendrix, B. Maresch, J. van Amersfoort, T. Oosterveld-Bonsma, S. Kolderman, M. Vestering, S. Zielinski, K. Rutten, J. Dammeier, L. Ong, B. van Ginneken and M. Rutten, "Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs", European Radiology, 2024.
    Abstract DOI PMID
  9. R. Leon-Ferre, J. Carter, D. Zahrieh, J. Sinnwell, R. Salgado, V. Suman, D. Hillman, J. Boughey, K. Kalari, F. Couch, J. Ingle, M. Balkenhol, F. Ciompi, J. van der Laak and M. Goetz, "Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer", npj Breast Cancer, 2024;10.
    Abstract DOI PMID
  10. D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop and C. Jacobs, "Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation", European Radiology, 2024.
    Abstract DOI PMID
  11. N. van Nistelrooij, K. Ghoul, T. Xi, A. Saha, S. Kempers, M. Cenci, B. Loomans, T. Flügge, B. van Ginneken and S. Vinayahalingam, "Combining public datasets for automated tooth assessment in panoramic radiographs", BMC Oral Health, 2024;24.
    Abstract DOI PMID
  12. L. van Eekelen, J. Spronck, M. Looijen-Salamon, S. Vos, E. Munari, I. Girolami, A. Eccher, B. Acs, C. Boyaci, G. de Souza, M. Demirel-Andishmand, L. Meesters, D. Zegers, L. van der Woude, W. Theelen, M. van den Heuvel, K. Grünberg, B. van Ginneken, J. van der Laak and F. Ciompi, "Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images", Scientific Reports, 2024;14.
    Abstract DOI PMID
  13. U. Mahmood, A. Shukla-Dave, H. Chan, K. Drukker, R. Samala, Q. Chen, D. Vergara, H. Greenspan, N. Petrick, B. Sahiner, Z. Huo, R. Summers, K. Cha, G. Tourassi, T. Deserno, K. Grizzard, J. Näppi, H. Yoshida, D. Regge, R. Mazurchuk, K. Suzuki, L. Morra, H. Huisman, S. Armato and L. Hadjiiski, "Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing", BJR|Artificial Intelligence, 2024;1.
    Abstract DOI PMID
  14. J. van der Graaf, M. van Hooff, C. Buckens, M. Rutten, J. van Susante, R. Kroeze, M. de Kleuver, B. van Ginneken and N. Lessmann, "Lumbar spine segmentation in MR images: a dataset and a public benchmark", Scientific Data, 2024;11(1):264.
    Abstract DOI PMID Cited by ~5
  15. J. van der Graaf, M. van Hooff, B. van Ginneken, M. Huisman, M. Rutten, D. Lamers, N. Lessmann and M. de Kleuver, "Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI", European Radiology, 2024:1-10.
    Abstract DOI PMID
  16. A. Vos, L. Pijnenborg, S. van Vliet, L. Kodach, F. Ciompi, R. van der Post, F. Simmer and I. Nagtegaal, "Biological background of colorectal polyps and carcinomas with heterotopic ossification: A national study and literature review", Human Pathology, 2024;145:34-41.
    Abstract DOI PMID
  17. L. Maier-Hein, A. Reinke, P. Godau, M. Tizabi, F. Buettner, E. Christodoulou, B. Glocker, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler, M. Wiesenfarth, A. Kavur, C. Sudre, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, T. Rädsch, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, M. Blaschko, M. Cardoso, V. Cheplygina, B. Cimini, G. Collins, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, R. Haase, D. Hashimoto, M. Hoffman, M. Huisman, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, A. Karthikesalingam, F. Kofler, A. Kopp-Schneider, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, P. Mattson, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, N. Rajpoot, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, M. van Smeden, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux and P. Jäger, "Metrics reloaded: recommendations for image analysis validation", Nature Methods, 2024;21:195-212.
    Abstract DOI PMID Cited by ~50
  18. A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, F. Buettner, M. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, B. Cimini, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, B. Glocker, P. Godau, D. Hashimoto, M. Hoffman, M. Huisman, F. Isensee, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, J. Kleesiek, F. Kofler, T. Kooi, A. Kopp-Schneider, M. Kozubek, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, S. Rafelski, N. Rajpoot, M. Reyes, M. Riegler, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux, Z. Yaniv, P. Jäger and L. Maier-Hein, "Understanding metric-related pitfalls in image analysis validation", Nature Methods, 2024;21:182-194.
    Abstract DOI PMID Cited by ~17
  19. T. Perik, N. Alves, J. Hermans and H. Huisman, "Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma", Cancer, 2024;16(3):577.
    Abstract DOI PMID
  20. L. Boulogne, J. Charbonnier, C. Jacobs, E. van der Heijden and B. van Ginneken, "Estimating lung function from computed tomography at the patient and lobe level using machine learning", Medical Physics, 2024.
    Abstract DOI PMID
  21. E. Chelebian, C. Avenel, F. Ciompi and C. Wählby, "DEPICTER: Deep representation clustering for histology annotation", Computers in Biology and Medicine, 2024;170:108026.
    Abstract DOI PMID
  22. B. Russell, K. Beyer, A. Lawlor, M. Roobol, L. Venderbos, S. Remmers, E. Briers, S. MacLennan, S. MacLennan, M. Omar, M. Van Hemelrijck, E. Smith, J. N'Dow, K. Plass, M. Ribal, N. Mottet, R. Shepherd, T. Abbott, K. Mastris, L. Moris, M. Lardas, T. den Van Broeck, P. Willemse, N. Fossati, K. Pang, R. Campi, I. Greco, M. Gacci, S. Serni, A. Bjartell, R. Lonnerbro, A. Briganti, D. Crosti, R. Garzonio, G. Gandaglia, M. Faticoni, G. office, C. Bangma, M. Jongerden, D. Tilki, A. Auvinen, T. Murtola, T. Visakorpi, K. Talala, T. Tammela, A. Siltari, S. Lejeune, L. Colette, S. Caputova, D. Poli, S. Byrne, L. Fialho, A. Rowland, N. Tapela, N. Di Flora, K. Apostolidis, V. Lemair, B. De Meulder, C. Auffray, N. Taibi, A. Hijazy, A. Saporta, K. Sun, S. Power, N. Zounemat Kermani, K. van Bochove, A. Tafreshiha, C. Bernini, D. Horgan, L. Fullwood, M. Holtorf, D. Lancet, G. Bernstein, S. Tripathee, M. Wirth, M. Froehner, B. Brenner, A. Borkowetz, C. Thomas, F. Horn, K. Reiche, M. Kreuz, A. Josefsson, D. Gasi Tandefelt, J. Hugosson, J. Schalken, H. Huisman, T. Hofmarcher, P. Lindgren, E. Andersson, A. Fridhammar, M. Tames Grijalva, S. Evans-Axelsson, F. Verholen, J. Zong, J. Butler-Ransohoff, T. Williamson, R. Waldeck, A. Bruno, E. Nevedomskaya, S. Fatoba, N. Constantinovici, C. Steinbeisser, M. Maass, P. Torremante, E. Dochy, F. Pisa, M. Voss, K. Papineni, J. Wang-silvanto, R. Snijder, X. Wang, M. Lambrecht, R. Wolfinger, S. Eid, S. Palanisamy, S. Haque, L. Antoni, A. Servan, K. Pascoe, P. Robinson, J. Lencart, B. Jaton, H. Turunen, O. Kilkku, P. Pohjanjousi, O. Voima, L. Nevalaita, K. Punakivi, S. Seager, S. Ratwani, K. Grzeslak, J. Brash, E. Longden-Chapman, D. Burke, M. Licour, S. Payne, A. Yong, F. Lujan, S. Le Mare, J. Hendrich, M. Bussmann, Juckeland, Kotik, D. Poli and C. Reich, "Survivorship Data in Prostate Cancer: Where Are We and Where Do We Need To Be?", European Urology Open Science, 2024;59:27-29.
    Abstract DOI PMID
  23. C. Jacobs, "Decoding pulmonary nodules: can machine learning enhance malignancy risk stratification?", Thorax, 2024.
    Abstract DOI PMID
  24. K. Faryna, J. van der Laak and G. Litjens, "Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology", Computers in Biology and Medicine, 2024;170:108018.
    Abstract DOI PMID
  25. D. Schouten, J. van der Laak, B. van Ginneken and G. Litjens, "Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments", Scientific Reports, 2024;14.
    Abstract DOI PMID
  26. C. Jahangir, D. Page, G. Broeckx, C. Gonzalez, C. Burke, C. Murphy, J. Reis-Filho, A. Ly, P. Harms, R. Gupta, M. Vieth, A. Hida, M. Kahila, Z. Kos, P. van Diest, S. Verbandt, J. Thagaard, R. Khiroya, K. Abduljabbar, G. Acosta Haab, B. Acs, S. Adams, J. Almeida, I. Alvarado-Cabrero, F. Azmoudeh-Ardalan, S. Badve, N. Baharun, E. Bellolio, V. Bheemaraju, K. Blenman, L. Mendonça Botinelly Fujimoto, O. Burgues, A. Chardas, M. Cheang, F. Ciompi, L. Cooper, A. Coosemans, G. Corredor, F. Dantas Portela, F. Deman, S. Demaria, S. Dudgeon, M. Elghazawy, C. Fernandez-Martín, S. Fineberg, S. Fox, J. Giltnane, S. Gnjatic, P. Gonzalez-Ericsson, A. Grigoriadis, N. Halama, M. Hanna, A. Harbhajanka, S. Hart, J. Hartman, S. Hewitt, H. Horlings, Z. Husain, S. Irshad, E. Janssen, T. Kataoka, K. Kawaguchi, A. Khramtsov, U. Kiraz, P. Kirtani, L. Kodach, K. Korski, G. Akturk, E. Scott, A. Kovács, A. L\aenkholm , C. Lang-Schwarz, D. Larsimont, J. Lennerz, M. Lerousseau, X. Li, A. Madabhushi, S. Maley, V. Manur Narasimhamurthy, D. Marks, E. McDonald, R. Mehrotra, S. Michiels, D. Kharidehal, F. Minhas, S. Mittal, D. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault-Llorca, R. Perera, C. Pinard, J. Pinto-Cardenas, G. Pruneri, L. Pusztai, N. Rajpoot, B. Rapoport, T. Rau, J. Ribeiro, D. Rimm, A. Vincent-Salomon, J. Saltz, S. Sayed, E. Hytopoulos, S. Mahon, K. Siziopikou, C. Sotiriou, A. Stenzinger, M. Sughayer, D. Sur, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. Thompson, T. Tramm, W. Tran, J. van der Laak, G. Verghese, G. Viale, N. Wahab, T. Walter, Y. Waumans, H. Wen, W. Yang, Y. Yuan, J. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, E. Specht Stovgaard, R. Salgado, W. Gallagher and A. Rahman, "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, 2024;262:271-288.
    Abstract DOI PMID
  27. J. Linmans, G. Raya, J. van der Laak and G. Litjens, "Diffusion models for out-of-distribution detection in digital pathology", Medical Image Analysis, 2024;93:103088.
    Abstract DOI PMID Cited by ~4
  28. D. Geijs, S. Dooper, W. Aswolinskiy, L. Hillen, A. Amir and G. Litjens, "Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning", Medical Image Analysis, 2024;93:103063.
    Abstract DOI PMID
  29. K. van Leeuwen, S. Schalekamp, M. Rutten, M. Huisman, C. Schaefer-Prokop, M. de Rooij, B. van Ginneken, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock and F. the Group, "Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction", Radiology, 2024;310.
    Abstract DOI PMID Cited by ~3
  30. M. van Rijthoven, S. Obahor, F. Pagliarulo, V. den Maries, P. Schraml, H. Moch, J. van der Laak, F. Ciompi and K. Silina, "Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors", Communications Medicine, 2024.
    Abstract DOI PMID Code Algorithm Cited by ~1
  31. S. Vermorgen, T. Gelton, P. Bult, H. Kusters-Vandevelde, J. Hausnerová, K. de Van Vijver, B. Davidson, I. Stefansson, L. Kooreman, A. Qerimi, J. Huvila, B. Gilks, M. Shahi, S. Zomer, C. Bartosch, J. Pijnenborg, J. Bulten, F. Ciompi and M. Simons, "Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study", Modern Pathology, 2024;37:100417.
    Abstract DOI PMID
  32. R. Samala, K. Drukker, A. Shukla-Dave, H. Chan, B. Sahiner, N. Petrick, H. Greenspan, U. Mahmood, R. Summers, G. Tourassi, T. Deserno, D. Regge, J. Näppi, H. Yoshida, Z. Huo, Q. Chen, D. Vergara, K. Cha, R. Mazurchuk, K. Grizzard, H. Huisman, L. Morra, K. Suzuki, S. Armato and L. Hadjiiski, "AI and machine learning in medical imaging: key points from development to translation", BJR|Artificial Intelligence, 2024;1.
    Abstract DOI
  33. A. Hering, M. Westphal, A. Gerken, H. Almansour, M. Maurer, B. Geisler, T. Kohlbrandt, T. Eigentler, T. Amaral, N. Lessmann, S. Gatidis, H. Hahn, K. Nikolaou, A. Othman, J. Moltz and F. Peisen, "Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow", International Journal of Computer Assisted Radiology and Surgery, 2024.
    Abstract DOI
  34. F. Khoraminia, F. de Jong, F. Akram, G. Litjens, M. Jansen, A. Gonzalez, D. Lichtenburg, A. Stubbs, N. Khalili and T. Zuiverloon, "Abstract B004: Deep learning unveils molecular footprints in histology: predicting molecular subtypes from bladder cancer histology slides", Clinical Cancer Research, 2024;30:B004-B004.
    Abstract DOI
  35. A. Pfob, T. He, L. Cai, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, A. Hennigs, P. Kapetas, S. Lu, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, B. Schaefgen, A. Stieber, R. Togawa, M. Tozaki, S. Wojcinski, C. Xu, G. Rauch, J. Heil, C. Sidey-Gibbons and M. Golatta, "Abstract PO3-07-02: Radiomics Models for B-mode Breast Ultrasound and Strain Elastography to improve Breast Cancer Diagnosis (INSPiRED 005): An International, Multicenter Analysis", Cancer Research, 2024;84:PO3-07-02-PO3-07-02.
    Abstract DOI
  36. G. Solé-Guardia, M. Luijten, B. Geenen, J. Claassen, G. Litjens, F. de Leeuw, M. Wiesmann and A. Kiliaan, "Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report", Scientific Reports, 2024;14.
    Abstract DOI

Preprints

  1. 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. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. Sánchez and K. Murphy, "Nodule detection and generation on chest X-rays: NODE21 Challenge", arXiv:2401.02192, 2024.
    Abstract DOI PMID arXiv
  2. C. Grisi, G. Litjens and J. van der Laak, "Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers", arXiv:2404.18152, 2024.
    Abstract DOI arXiv
  3. A. Hering, S. de Boer, A. Saha, J. Twilt, D. Yakar, M. de Rooij, H. Huisman and J.S. Bosma, "Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis", arXiv:2404.09666, 2024.
    Abstract DOI arXiv
  4. E. de la Rosa, M. Reyes, S. Liew, A. Hutton, R. Wiest, J. Kaesmacher, U. Hanning, A. Hakim, R. Zubal, W. Valenzuela, D. Robben, D. Sima, V. Anania, A. Brys, J. Meakin, A. Mickan, G. Broocks, C. Heitkamp, S. Gao, K. Liang, Z. Zhang, M. Siddiquee, A. Myronenko, P. Ashtari, S. Van Huffel, H. Jeong, C. Yoon, C. Kim, J. Huo, S. Ourselin, R. Sparks, A. Clèrigues, A. Oliver, X. Lladó, L. Chalcroft, I. Pappas, J. Bertels, E. Heylen, J. Moreau, N. Hatami, C. Frindel, A. Qayyum, M. Mazher, D. Puig, S. Lin, C. Juan, T. Hu, L. Boone, M. Goubran, Y. Liu, S. Wegener, F. Kofler, I. Ezhov, S. Shit, M. Petzsche, B. Menze, J. Kirschke and B. Wiestler, "A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge", arXiv:2403.19425, 2024.
    Abstract DOI arXiv
  5. H. Häntze, L. Xu, L. Donle, F. Dorfner, A. Hering, L. Adams and K. Bressem, "Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans", arXiv:2405.03713, 2024.
    Abstract DOI arXiv
  6. N. Khalili, J. Spronck, F. Ciompi, J. van der Laak and G. Litjens, "Uncertainty-guided annotation enhances segmentation with the human-in-the-loop", arXiv:2404.07208, 2024.
    Abstract DOI arXiv
  7. A. Jurgas, M. Wodzinski, M. D'Amato, J. van der Laak, M. Atzori and H. Müller, "Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation", arXiv:2406.11538, 2024.
    Abstract DOI arXiv
  8. H. Häntze, L. Xu, F. Dorfner, L. Donle, D. Truhn, H. Aerts, M. Prokop, B. van Ginneken, A. Hering, L. Adams and K. Bressem, "MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences", arXiv:2405.06463, 2024.
    Abstract DOI arXiv
  9. K. Silina and F. Ciompi, "Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches", arXiv:2403.04142, 2024.
    Abstract DOI arXiv
  10. H. Bran, F. Navarro, I. Ezhov, A. Bayat, D. Das, F. Kofler, S. Shit, D. Waldmannstetter, J. Paetzold, X. Hu, B. Wiestler, L. Zimmer, T. Amiranashvili, C. Prabhakar, C. Berger, J. Weidner, M. Alonso-Basant, A. Rashid, U. Baid, W. Adel, D. Ali, B. Baheti, Y. Bai, I. Bhatt, S. Cetindag, W. Chen, L. Cheng, P. Dutand, L. Dular, M. Elattar, M. Feng, S. Gao, H. Huisman, W. Hu, S. Innani, W. Jiat, D. Karimi, H. Kuijf, J. Kwak, H. Le, X. Lia, H. Lin, T. Liu, J. Ma, K. Ma, T. Ma, I. Oksuz, R. Holland, A. Oliveira, J. Pal, X. Pei, M. Qiao, A. Saha, R. Selvan, L. Shen, J. Silva, Z. Spiclin, S. Talbar, D. Wang, W. Wang, X. Wang, Y. Wang, R. Xia, K. Xu, Y. Yan, M. Yergin, S. Yu, L. Zeng, Y. Zhang, J. Zhao, Y. Zheng, M. Zukovec, R. Do, A. Becker, A. Simpson, E. Konukoglu, A. Jakab, S. Bakas, L. Joskowicz and B. Menze, "QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge", arXiv:2405.18435, 2024.
    Abstract DOI arXiv

Papers in conference proceedings

  1. K. Faryna, J. van der Laak and G. Litjens, "Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology", Medical Imaging 2024: Digital and Computational Pathology, 2024.
    Abstract DOI
  2. A. Moradi, F. Zerka, J. Sander Bosma, D. Yakar, J. Geerdink, H. Huisman, T. Frost Bathen and M. Elschot, "Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy", Medical Imaging 2024: Computer-Aided Diagnosis, 2024.
    Abstract DOI

Abstracts

  1. R. Dinnessen, K. Venkadesh, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "External validation of an AI algorithm for pulmonary nodule malignancy risk estimation on a dataset of incidentally detected pulmonary nodules", European Congress of Radiology, 2024.
    Abstract
  2. F. van der Graaf, N. Antonissen, E. Scholten, M. Prokop and C. Jacobs, "Assessing the agreement between privacy-preserving Llama model and human experts when labelling radiology reports for specific significant incidental findings in lung cancer screening", Annual Meeting of the European Society of Thoracic Imaging, 2024.
    Abstract
  3. F. van der Graaf, N. Antonissen, Z. Saghir, M. Prokop and C. Jacobs, "External validation of the Sybil risk model as a tool to identify low-risk individuals eligible for biennial lung cancer screening", European Congress of Radiology, 2024.
    Abstract
  4. N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective validation and comparison of deep learning based risk thresholds versus growth-centric protocols in pulmonary nodule assessment in screening", Annual Meeting of the European Society of Thoracic Imaging, 2024.
    Abstract
  5. D. Peeters, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop and C. Jacobs, "Towards safe and reliable implementation of AI models for nodule malignancy estimation using distance-based out-of-distribution detection", Annual Meeting of the European Society of Thoracic Imaging, 2024.
    Abstract
  6. B. Obreja, K. Venkadesh, W. Hendrix, Z. Saghir, M. Prokop and C. Jacobs, "Deep Learning for estimating pulmonary nodule malignancy risk: How much data does AI need to reach radiologist level performance?", European Congress of Radiology, 2024.
    Abstract

PhD theses

  1. M. Hosseinzadeh, "Prostate Cancer Detection in MRI using Deep Learning", PhD thesis, 2024.
    Abstract Url
  2. Humpire-Mamani and G. Efrain, "Deep Learning for Localization and Segmentation in Thorax Abdomen CT", PhD thesis, 2024.
    Abstract Url
  3. J. Bokhorst, "Hidden in plain sight. Automatic detection of tumor budding in digital pathology images of colorectal cancer", PhD thesis, 2024.
    Abstract Url
  4. K. Venkadesh, "AI for lung cancer screening", PhD thesis, 2024.
    Abstract Url

Other publications

  1. T. Kohlbrandt, J. Moltz, S. Heldmann, A. Hering and J. Lellmann, "Joint Learning of Image Registration and Change Detection for Lung CT Images", Bildverarbeitung fur die Medizin 2024, 2024:46-51.
    Abstract DOI
  2. F. Falta, C. Gro\ssbr öhmer, A. Hering, A. Bigalke and M. Heinrich, "Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B", Bildverarbeitung fur die Medizin 2024, 2024:53-53.
    Abstract DOI