Ultrasound-guided needle tracking with deep learning: a novel approach with photoacoustic ground truth by Hui, Xie, Rajendran, Praveenbalaji, Ling, Tong, Dai, Xianjin, Xing, Lei, Pramanik, Manojit

“…The evaluation of needle segmentation performance extends across previously unseen ex vivo data and in vivo human data (collected from an open-source data repository). …”
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Deep learning-based algorithm for synthetic aperture radar despeckling by Wang, Yuxuan

“…However, SAR images inherently suffer from speckle noise, which severely hinders the effective implementation of subsequent tasks such as image segmentation and target detection. Therefore, research on SAR image denoising and target detection technologies is of great significance. …”
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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…Also, it can give us some accurate prediction based on the currently collected data and then automatically realize the objective of trend prediction, pattern recognition or segmentation like the development of autonomous vehicles, or the stock market forecasting. …”
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Image processing and machine learning techniques for Chagas disease detection and identification by Rada, Lavdie, Azzawi, Inass, Kumar, Preet, Brito-Loeza, Carlos Francisco, Karabağ, Cefa, Reyes-Aldasoro, Constantino C.

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Enhanced Approach of Decision Making in Determining Contemporary Critical Preferential Factors and Location Decisions for Residential Project using MCDM Technique (S/O 13903) by Lamsali, Hendrik, Mad Lazim, Halim, Abdul Rahim, Mohd Kamarul Irwan, Osman, Wan Nadzri, Salleh, Mohamed Najib

“…The study can be further expanded by conducting consumers’ and markets’ segmentation analysis. Developers’ preferences and priorities can also be explored further using the Multiple-criteriadecision-making (MCDM) techniques.…”
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Modélisation des interactions en Italie du Nord au premier âge du Fer: de la circulation de parures aux réseaux d’influences culturelles by Cicolani, V, Huet, T, Zamboni, L

“…Applied for each period, this segmentation is represented on a map by assigning the color of the groups (clusters) to the sites, thus facilitating spatial reading and geographical interpretation of the results. …”

HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 by Gollub, Randy L., Savoy, Robert, Wald, Lawrence, Banzett, Robert B., Dickerson, Bradford C, Melcher, Jennifer R., Kennedy, David N. (David Nelson), 1962-, Tuch, David Solomon, 1973-, Jovicich, Jorge, Greve, Doug, Mandeville, Joe, Vangel, Mark Geoffrey, Hoge, Rick, Blood, Anne, Hadjikhani, Nouchine, Moore, Christopher, Salat, David, Sigalovsky, Irina S., 1972-, Stufflebeam, Steven M, Zalesky, Martin

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006 by Gollub, Randy L., Banzett, Robert B., Bolar, Divya S., Buckner, Randy, Dickerson, Bradford, Gabrieli, John D. E., Whitfield-Gabrieli, Susan, Greve, Doug, Hadjikhani, Nouchine, Helmer, Karl, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Mandeville, Joe, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Napadow, Vitaly, Pujol, Sonia, Rosen, Bruce Robert, Salat, David, Savoy, Robert, Sodickson, Dan, Sorensen, A. Gregory, Triantafyllou, Christina, Vangel, Mark Geoffrey, Wald, Lawrence, Yendiki, Anastasia

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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3D deep learning on medical images : a review by Singh, Satya P., Wang, Lipo, Gupta, Sukrit, Goli, Haveesh, Padmanabhan, Parasuraman, Gulyás, Balázs

“…We review the significant research in the field of 3D medical imaging analysis using 3D CNNs (and its variants) in different medical areas such as classification, segmentation, detection and localization. We conclude by discussing the challenges associated with the use of 3D CNNs in the medical imaging domain (and the use of deep learning models in general) and possible future trends in the field.…”
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A study on giant panda recognition based on images of a large proportion of captive pandas by Chen, Peng, Swarup, Pranjal, Matkowski, Wojciech Michal, Kong, Adams Wai Kin, Han, Su, Zhang, Zhihe, Rong, Hou

“…For panda face recognition, a fully automatic deep learning algorithm which consists of a sequence of deep neural networks (DNNs) used for panda face detection, segmentation, alignment, and identity prediction is developed in this study. …”
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Harmonic fields based surface and volume mapping by Xia, Jiazhi

“…After that, a global smoothing step is adopted to improve the continuity along the segmentation boundaries. In Chapter 5, we also develop another method to overcome the drawback of harmonic maps in parameterizing 3D facial expressions. …”
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An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method by Mazleenda Mazni, Mazleenda Mazni, Husain, Abdul Rashid, Shapiai, Mohd. Ibrahim, Ibrahim, Izni Syahrizal, Devi Willieam Anggara, Devi Willieam Anggara, Zulkifli, Riyadh

“…Incorporating the Otsu method for image segmentation, our system accurately assesses individual crack sizes. …”
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Impacts of ancillary services on airline revenue management by Lu, Yuxuan(Aeronautics scientist)Massachusetts Institute of Technology.

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EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing by Sen, Argha, Bandara, Nuwan, Gokarn, Ila, Kandappu, Thivya, Misra, Archan

“…EyeTrAES then applies lightweight image processing functions over accumulated event frames from just a single eye to perform pupil segmentation and tracking (as opposed to gaze-based techniques that require simultaneous tracking of both eyes). …”
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Synthesizing photorealistic images with deep generative learning by Zheng, Chuanxia

“…To achieve this goal, a new pipeline is presented that interleaves the two tasks of instance segmentation and scene completion through multiple iterations, solving for objects in a layer-by-layer manner. …”
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Studies on the assessment of abdominal aortic aneurysm rupture risk by Canchi, Tejas

“…This was done using a combination of in-house segmentation codes and commercial finite element analysis (FEA) software. …”
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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…These algorithms can be further applied to improving the generalization abilities of deep models for WiFi-based sensing and visual sensing including object recognition, object detection, sentiment segmentation and person re-identification.…”
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Phonological analysis of syllabic changes of Arabic loan verbs by Muhaimin Syaqiq Mawaridi, Abdul Azim Mohamad Isa, Lutfi Hassan

“…The reduction of syllable segments refers to a segmental reduction in the first, second or third syllable. …”
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Reduction of dimensionality of a cellular actuator array for driving a robotic hand by Cho, Kyu-Jin, Ph. D. Massachusetts Institute of Technology

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Distinct Circle of Willis anatomical configurations in healthy preterm born adults: a 3D time-of-flight magnetic resonance angiography study by Greggio, J, Malamateniou, C, Baruteau, KP, Reyes-Aldasoro, CC, Huckstep, OJ, Francis, JM, Williamson, W, Leeson, P, Lewandowski, AJ, Lapidaire, W

“…In contrast, preterm females showed higher odds of a group 4a variant (circles with one or more accessory segments, without any absent segments) in comparison to their full-term counterparts (p = 0.020). …”