Benjamin H Kann
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Explore the profile of Benjamin H Kann including associated specialties, affiliations and a list of published articles.
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79
Citations
925
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Recent Articles
1.
Saraf A, He J, Shin K, Weiss J, Awad M, Gainor J, et al.
Clin Lung Cancer
. 2025 Feb;
PMID: 39986945
Introduction: Sarcopenia is associated with worse survival in non-small cell lung cancer (NSCLC), but less studied in association with toxicity. Here, we investigated the association between imaging-assessed sarcopenia with toxicity...
2.
Tak D, Garomsa B, Chaunzwa T, Zapaishchykova A, Climent Pardo J, Ye Z, et al.
medRxiv
. 2024 Dec;
PMID: 39677480
Artificial intelligence (AI) applied to brain magnetic resonance imaging (MRI) has the potential to improve disease diagnosis and management but requires algorithms with generalizable knowledge that can perform well in...
3.
Hoebers F, Wee L, Likitlersuang J, Mak R, Bitterman D, Huang Y, et al.
BJR Open
. 2024 Nov;
6(1):tzae039.
PMID: 39583148
The use of artificial intelligence (AI) holds great promise for radiation oncology, with many applications being reported in the literature, including some of which are already in clinical use. These...
4.
Familiar A, Khalili N, Khalili N, Schuman C, Grove E, Viswanathan K, et al.
AJNR Am J Neuroradiol
. 2024 Nov;
PMID: 39532533
Background And Purpose: Privacy concerns, such as identifiable facial features within brain scans, have hindered the availability of pediatric neuroimaging datasets for research. Consequently, pediatric neuroscience research lags adult counterparts,...
5.
Zha Y, Ye Z, Zapaishchykova A, He J, Hsu S, Leeman J, et al.
Phys Imaging Radiat Oncol
. 2024 Sep;
31:100626.
PMID: 39253728
Background And Purpose: Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. However, the heterogeneous response...
6.
Mahootiha M, Tak D, Ye Z, Zapaishchykova A, Likitlersuang J, Climent Pardo J, et al.
Neuro Oncol
. 2024 Aug;
27(1):277-290.
PMID: 39211987
Background: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to predict by conventional clinical, radiographic, and genomic factors. We investigated if deep learning (DL) of magnetic resonance imaging...
7.
Boyd A, Ye Z, Prabhu S, Tjong M, Zha Y, Zapaishchykova A, et al.
Radiol Artif Intell
. 2024 Jul;
6(4):e230254.
PMID: 38984985
Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatric brain tumor segmentation model using stepwise transfer learning. Materials and Methods In this retrospective study, the...
8.
Tak D, Garomsa B, Zapaishchykova A, Ye Z, Vajapeyam S, Mahootiha M, et al.
medRxiv
. 2024 Jul;
PMID: 38978642
Pediatric glioma recurrence can cause morbidity and mortality; however, recurrence pattern and severity are heterogeneous and challenging to predict with established clinical and genomic markers. Resultingly, almost all children undergo...
9.
Zhao X, Zhang S, Sun X, Lin Y, Capone L, Ko E, et al.
Transl Lung Cancer Res
. 2024 Jul;
13(6):1383-1395.
PMID: 38973945
Background And Objective: A significant number of individuals diagnosed with non-small cell lung cancer (NSCLC) have distant metastases, and the concept of oligometastatic NSCLC has shown promise in achieving a...
10.
Lee H, Lee G, Ferguson D, Hsu S, Hu Y, Huynh E, et al.
Biomed Phys Eng Express
. 2024 Jun;
10(4).
PMID: 38861951
We aim to: (1) quantify the benefits of lung sparing using non-adaptive magnetic resonance guided stereotactic body radiotherapy (MRgSBRT) with advanced motion management for peripheral lung cancers compared to conventional...