Massively parallel sequencing technologies in neuroblastoma research. - Bram De Wilde (2015)

High-throughput PCR assay design for targeted resequencing using primerXL. - Steve Lefever; Filip Pattyn; Bram De Wilde; Frauke Coppieters; Sarah De Keulenaer; Jan Hellemans; Jo Vandesompele (BMC Bioinform., 2017)

Classification with a disordered dopant-atom network in silicon. - Tao Chen; Jeroen van Gelder; Bram van de Ven; Sergey V. Amitonov; Bram De Wilde; Hans-Christian Ruiz Euler; Hajo Broersma; Peter A. Bobbert; Floris A. Zwanenburg; Wilfred G. van der Wiel (Nat., 2020)

Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning. - Bram De Wilde; Richard P. G. ten Broek; Henkjan J. Huisman (CoRR, 2021)

Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation. - Natália Alves; Bram De Wilde (FLARE@MICCAI, 2022)

Medical diffusion on a budget: textual inversion for medical image generation. - Bram De Wilde; Anindo Saha; Richard P. G. ten Broek; Henkjan Huisman (CoRR, 2023)

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Shihao Ma; Adamo Young; Cheng Zhu; Kangkang Meng; Xin Yang 009; Ziyan Huang; Fan Zhang; Wentao Liu; et al. (CoRR, 2023)

Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions. - Bastiaan A. W. van den Beukel; Bram De Wilde; Frank Joosten; Harry van Goor; Wulphert Venderink; Henkjan J. Huisman; Richard P. G. ten Broek (J. Imaging, 2023)

Inter- and Intra-Observer Variability and the Effect of Experience in Cine-MRI for Adhesion Detection. - Bram De Wilde; Frank Joosten; Wulphert Venderink; Mirjam E. J. Davidse; Juliëtte Geurts; Hanneke Kruijt; Afke Vermeulen; Bibi Martens; Maxime V. P. Schyns; Josephine C. B. M. Huige; Myrte C. de Boer; Bart A. R. Tonino; et al. (J. Imaging, 2023)

Medical diffusion on a budget: Textual Inversion for medical image generation. - Bram De Wilde; Anindo Saha; Maarten de Rooij; Henkjan Huisman; Geert Litjens 001 (MIDL, 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)