Henkjan Huisman
Identifiers
- name variant Henkjan Huisman 0.60 · backfill
Papers (18)
- Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study eess.IV · 2025 · author #8
- Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets eess.IV · 2024 · author #5
- Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis eess.IV · 2024 · author #8
- QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge eess.IV · 2024 · author #33
- Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation eess.IV · 2023 · author #4
- Medical diffusion on a budget: Textual Inversion for medical image generation cs.CV · 2023 · author #4
- Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration eess.IV · 2022 · author #12
- Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning eess.IV · 2022 · author #6
- Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI eess.IV · 2021 · author #6
- Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography eess.IV · 2021 · author #6
- Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$Should Different Clinical Objectives Mandate Different Loss Functions? eess.IV · 2021 · author #5
- Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning eess.IV · 2021 · author #3
- End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction eess.IV · 2021 · author #3
- Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI eess.IV · 2020 · author #3
- Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection eess.IV · 2019 · author #3
- Supervised Uncertainty Quantification for Segmentation with Multiple Annotations cs.LG · 2019 · author #5
- Automatic segmentation of prostate zones cs.CV · 2018 · author #3
- Autoencoders for Multi-Label Prostate MR Segmentation eess.IV · 2018 · author #2
Mentions
- 2507.22790 #8 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2408.04777 #5 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2303.13430 #4 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2404.09666 #8 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2112.05151 #6 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2405.18435 #33 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2209.05160 #12 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2305.05984 #4 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 1907.01949 #5 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2201.06358 #6 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2111.15409 #6 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2110.12889 #5 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2011.00263 #3 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2101.03244 #3 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 2106.08094 #3 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 1907.12382 #3 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 1806.08216 #2 · arxiv_oai · confidence 0.70 Henkjan Huisman
- 1806.07146 #3 · arxiv_oai · confidence 0.70 Henkjan Huisman
Frequent Coauthors
- Anindo Saha 8 shared papers
- Matin Hosseinzadeh 6 shared papers
- Joeran S. Bosma 4 shared papers
- Maarten de Rooij 3 shared papers
- Bram de Wilde 2 shared papers
- Dean Barratt 2 shared papers
- Derya Yakar 2 shared papers
- Joeran Bosma 2 shared papers
- Qianye Yang 2 shared papers
- Victor Adrian Prisacariu 2 shared papers
- Wen Yan 2 shared papers
- Yipeng Hu 2 shared papers
- Yiwen Li 2 shared papers
- Yunguan Fu 2 shared papers
- Zhe Min 2 shared papers
- Alessa Hering 1 shared papers
- Ali Kamen 1 shared papers
- Amber Simpson 1 shared papers
- Amirhossein Bayat 1 shared papers
- Andras Jakab 1 shared papers