Evaluation of daily residual pancreatic tumor motion for deep‐inspiration breath‐hold radiotherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Breath‐hold techniques are widely used in radiation therapy to minimize respiratory‐induced tumor or organ‐at‐risk motion. However, residual motion persists, necessitating a reliable daily evaluation method. Methods At our institution, fiducial markers serve as surrogates for target localization in pancreatic cancer treatment.
Weihua Mao +4 more
wiley +1 more source
Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations [PDF]
Proc. of the Int. Workshop on Deep Learning and Music. Anchorage,
US. 1(1). pp19-25 (2017), 2017 The increasing accuracy of automatic chord estimation systems, the availability of vast amounts of heterogeneous reference annotations, and insights from annotator subjectivity research make chord label personalization increasingly important. Nevertheless, automatic chord estimation systems are historically exclusively trained and evaluated on a single
arxiv
Intelligent Queries over BIRN Data using the Foundational Model of Anatomy and a Distributed Query-Based Data Integration System [PDF]
, 2010 We demonstrate the usefulness of the Foundational Model of Anatomy (FMA) ontology in reconciling different neuroanatomical parcellation schemes in order to facilitate automatic annotation and “intelligent” querying and visualization over a large ...
Brinkley, James F +5 more
core +1 more source
Automatic Verification of Annotated Code [PDF]
, 2003 Model checking is an automatic approach for the verification of systems. Explicit states model checking applies a search algorithm (e.g., depth or breadth first search) to the state space of the verified system. In concurrent systems, and in particular in communication protocols, the number of states can grow exponentially with the number of ...
Hongyang Qu, Doron Peled
openaire +2 more sources
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan +7 more
wiley +1 more source
HiCAT: a tool for automatic annotation of centromere structure. [PDF]
Genome Biol, 2023 Gao S +5 more
europepmc +1 more source
Automatic annotation and classification of phrase accents in spontaneous speech [PDF]
, 1999 Anton Batliner +6 more
openalex +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal +9 more
wiley +1 more source
Creating and Visualizing Test Data from Programming Exercises
Informatics in Education, 2007 Automatic assessment of programming exercises is typically based on testing approach. Most automatic assessment frameworks execute tests and evaluate test results automatically, but the test data generation is not automated. No matter that automatic test
Petri IHANTOLA
doaj +1 more source
Automatic rule generation for protein annotation with the C4.5 data mining algorithm applied on SWISS-PROT [PDF]
, 2001 Ernst Kretschmann +2 more
openalex +1 more source