Max A. Viergever

Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial

Markus H. A. Janse, Liselore Maria Janssen, Elian J. M. Wolters‐van der Ben, Maaike R. Moman et autres

OBJECTIVES: This study aimed to evaluate the potential additional value of deep radiomics for assessing residual cancer burden (RCB) in locally advanced breast cancer, after neoadjuvant chemotherapy (NAC) but before surgery, compared to standard predictors: tumor volume and subtype. MATERIALS AND METHODS: …

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Influence of learned landmark correspondences on lung CT registration

Ishaan Bhat, Hugo J. Kuijf, Max A. Viergever, Josien P. W. Pluim

BACKGROUND: Disease or injury may cause a change in the biomechanical properties of the lungs, which can alter lung function. Image registration can be used to measure lung ventilation and quantify volume change, which can be a useful diagnostic aid. However, lung …

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Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations

Jörg Sander, Bob D. de Vos, Steffen Bruns, R. Nils Planken et autres

Since the onset of computer-aided diagnosis in medical imaging, voxel-based segmentation has emerged as the primary methodology for automatic analysis of left ventricle (LV) function and morphology in cardiac magnetic resonance images (CMRI). In standard clinical practice, simultaneous multi-slice 2D cine short-axis …

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Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning

Ruurd J. A. Kuiper, Joost W. Colaris, Filip Stockmans, Eline M. van Es et autres

INTRODUCTION: The use of MRI scans for pre-operative surgical planning of forearm osteotomies provides additional information of joint cartilage and soft tissue structures and reduces radiation exposure in comparison with the use of CT scans. In this study, we investigated whether using …

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Effect of latent space distribution on the segmentation of images with multiple annotations

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf

We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution that can better approximate the uncertainty in the reference segmentations. We study the effect the choice of …

de, nl (code pays fourni par la source)

Effect of latent space distribution on the segmentation of images with multiple annotations

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf

We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution that can better approximate the uncertainty in the reference segmentations. We study the effect the choice of …

Supplementary Figure S1 from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Hazard ra􀆟o of intermediate contralateral parenchymal enhancement (CPE) (yellow) and high CPE (green) with respect to low CPE. CPE was calculated as the average of the late enhancement values above the threshold. CPE groups were subsequently obtained by spli􀆫ng CPE on ter􀆟les. …

Supplementary Table S1 from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Competing risk analysis; Cox proportional hazards models are shown for overall survival, breastâ€�cancer related death, and nonâ€�breast cancer related death. For each model, pooled hazard ratios (HR) and 95% confidence intervals (CI) are shown. Contralateral parenchymal enhancement was inverse probability weightingâ€� adjusted …

Data from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Abstract Purpose: To determine whether markers of healthy breast stroma are able to select a subgroup of patients at low risk of death or metastasis from patients considered at high risk according to routine markers of the tumor. Experimental Design: Patients with …

Data from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Abstract Purpose: To determine whether markers of healthy breast stroma are able to select a subgroup of patients at low risk of death or metastasis from patients considered at high risk according to routine markers of the tumor. Experimental Design: Patients with …

Supplementary Figure S1 from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Hazard ra􀆟o of intermediate contralateral parenchymal enhancement (CPE) (yellow) and high CPE (green) with respect to low CPE. CPE was calculated as the average of the late enhancement values above the threshold. CPE groups were subsequently obtained by spli􀆫ng CPE on ter􀆟les. …

Supplementary Table S1 from Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER+/HER2− Breast Cancer

Bas H. M. van der Velden, Sjoerd Geert Elias, Tycho Bismeijer, Claudette E. Loo et autres

Competing risk analysis; Cox proportional hazards models are shown for overall survival, breastâ€�cancer related death, and nonâ€�breast cancer related death. For each model, pooled hazard ratios (HR) and 95% confidence intervals (CI) are shown. Contralateral parenchymal enhancement was inverse probability weightingâ€� adjusted …