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Mody, P. (author), Huiskes, Merle (author), Chaves-de-Plaza, Nicolas F. (author), Onderwater, Alice (author), Lamsma, Rense (author), Hildebrandt, K.A. (author), Hoekstra, Nienke (author), Astreinidou, Eleftheria (author), Staring, M. (author)
Background and purpose: Retrospective dose evaluation for organ-at-risk auto-contours has previously used small cohorts due to additional manual effort required for treatment planning on auto-contours. We aimed to do this at large scale, by a) proposing and assessing an automated plan optimization workflow that used existing clinical plan...
journal article 2024
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Chen, Yunjie (author), Staring, M. (author), Wolterink, Jelmer M. (author), Tao, Q. (author)
In radiological practice, multi-sequence MRI is routinely acquired to characterize anatomy and tissue. However, due to the heterogeneity of imaging protocols and contraindications to contrast agents, some MRI sequences, e.g. contrast-enhanced T1-weighted image (T1ce), may not be acquired. This creates difficulties for large-scale clinical...
conference paper 2023
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Tan, Yicong (author), Mody, P. (author), van der Valk, Viktor (author), Staring, M. (author), van Gemert, J.C. (author)
Literature on medical imaging segmentation claims that hybrid UNet models containing both Transformer and convolutional blocks perform better than purely convolutional UNet models. This recently touted success of hybrid Transformers warrants an investigation into which of its components contribute to its performance. Also, previous work has a...
conference paper 2023
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Chaves-de-Plaza, Nicolas F. (author), Mody, P. (author), Hildebrandt, K.A. (author), Staring, M. (author), Astreinidou, Eleftheria (author), de Ridder, Mischa (author), de Ridder, H. (author), van Egmond, R. (author)
Delineation of tumours and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive external beam radiotherapy. Although auto-contouring technologies have sped up this process, the time needed to perform the quality assessment of the generated contours remains a...
book chapter 2022
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Goedmakers, C.M.W. (author), Pereboom, L. M. (author), Schoones, J. W. (author), de Leeuw den Bouter, M.L. (author), Remis, R.F. (author), Staring, M. (author), Vleggeert-Lankamp, C. L.A. (author)
review 2022
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Malimban, Justin (author), Lathouwers, D. (author), Qian, Haibin (author), Verhaegen, Frank (author), Wiedemann, Julia (author), Brandenburg, Sytze (author), Staring, M. (author)
For image-guided small animal irradiations, the whole workflow of imaging, organ contouring, irradiation planning, and delivery is typically performed in a single session requiring continuous administration of anaesthetic agents. Automating contouring leads to a faster workflow, which limits exposure to anaesthesia and thereby, reducing its...
journal article 2022
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Brink, Wyger M. (author), Yousefi, Sahar (author), Bhatnagar, Prernna (author), Remis, R.F. (author), Staring, M. (author), Webb, A. (author)
Purpose: Parallel RF transmission (PTx) is one of the key technologies enabling high quality imaging at ultra-high fields (≥7T). Compliance with regulatory limits on the local specific absorption rate (SAR) typically involves over-conservative safety margins to account for intersubject variability, which negatively affect the utilization of...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), Staring, M. (author)
Bayesian Neural Nets (BNN) are increasingly used for robust organ auto-contouring. Uncertainty heatmaps extracted from BNNs have been shown to correspond to inaccurate regions. To help speed up the mandatory quality assessment (QA) of contours in radiotherapy, these heatmaps could be used as stimuli to direct visual attention of clinicians to...
conference paper 2022
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Staring, M. (author), Dukalski, Marcin (author), Belonosov, Mikhail (author), Baardman, Rolf H. (author), Yoo, Jewoo (author), Hegge, Rob F. (author), Borselen, Roald van (author), Wapenaar, C.P.A. (author)
Suppression of surface-related and internal multiples is an outstanding challenge in seismic data processing. The former is particularly difficult in shallow water, whereas the latter is problematic for targets buried under complex, highly scattering overburdens. We have developed a two-step, amplitude- and phase-preserving, inversion-based...
journal article 2021
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Yousefi, Sahar (author), Sokooti, Hessam (author), Elmahdy, Mohamed S. (author), Lips, Irene M. (author), Shalmani, Mohammad T.Manzuri (author), Zinkstok, Roel T. (author), Dankers, Frank J.W.M. (author), Staring, M. (author)
Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presence of foreign bodies (e.g. feeding tubes). Physicians therefore usually exploit additional...
journal article 2021
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Sokooti, Hessam (author), Yousefi, Sahar (author), Elmahdy, Mohamed S. (author), Lelieveldt, B.P.F. (author), Staring, M. (author)
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: 'correct' 0-3 mm, 'poor' 3-6 mm and 'wrong' over 6 mm. Rather than a direct prediction, we propose a hierarchical approach, where...
journal article 2021
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Wapenaar, C.P.A. (author), Brackenhoff, J.A. (author), Dukalski, Marcin (author), Meles, G.A. (author), Slob, E.C. (author), Staring, M. (author), Thorbecke, J.W. (author), van der Neut, J.R. (author), Zhang, L. (author), Reinicke Urruticoechea, C. (author)
With the Marchenko method it is possible to retrieve Green's functions between virtual sources in the subsurface and receivers at the surface from reflection data at the surface and focusing functions. A macro model of the subsurface is needed to estimate the first arrival; the internal multiples are retrieved entirely from the reflection data....
journal article 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter studies the existing research and solutions in using TCP/IP on low data-rate and high delay networks like NFC. It concludes that the problem on hand, i.e., using TCP/IP on time-slotted NFC in the cordless kitchen appliances, is unique and hence new novel methods are needed in this case.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter gives an introduction to the Cordless Kitchen concept, benefits and use cases. It throws light on the benefits of connecting cordless kitchen to the Internet and highlights the challenges involved in enabling Internet connectivity. A few possible solutions are also proposed.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter explains the Bridge Architecture for internet connectivity in detail. It describes the experimental setup used to study the architecture, discusses the two main challenges that this architecture presents and proposes solutions.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter discusses the comprehensive experimental evaluation of the Bridge Architecture by analyzing its performance based on latency, throughput, packet retransmissions, NFC bandwidth utilization, etc. for different NFC bit rates and data sizes. It also provides some recommendations for implementing this architecture.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter discusses two possible architectures to connect the cordless kitchen appliances to the Internet. Design, advantages and disadvantages of both these architectures are covered in detail.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This research focused on enabling Internet connectivity to a new generation of smart kitchen appliances that work on wireless power technology. In order to provide efficient and seamless communication with the appliances, the possibilities of utilizing the NFC channel for Internet connectivity were explored.
book chapter 2021
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Shruthi Kashyap, Shruthi (author), Rao, V.S. (author), Venkatesha Prasad, Ranga Rao (author), Staring, Toine (author)
This chapter evaluates the effects of our solution on important TCP parameters such as TCP MSS, TCP CWND, NFC BER and other NFC channel characteristics using simulations and theoretical calculations.
book chapter 2021
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