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Front Matter: Volume 12032

Ivana Išgum, Olivier Colliot
2022 Medical Imaging 2022: Image Processing  
using a Base 36 numbering system employing both numerals and letters.  ...  SPIE uses a seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume  ...  models: applications to longitudinal study of normal aging 1A CNN-based pose estimation for assessing quality of ankle-joint X-ray images [12032-37] 1B Non-rigid registration of temporal live cell microscopy  ... 
doi:10.1117/12.2638192 fatcat:ikfgnjefaba2tpiamxoftyi6sa

Learning Disentangled Representations in the Imaging Domain [article]

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022 arXiv   pre-print
A good general representation can be fine-tuned for new target tasks using modest amounts of data, or used directly in unseen domains achieving remarkable performance in the corresponding task.  ...  Disentangled representation learning has been proposed as an approach to learning general representations even in the absence of, or with limited, supervision.  ...  We thank the participants of the DREAM tutorials for feedback.  ... 
arXiv:2108.12043v5 fatcat:cbpmp6pbajhjvjzovulswuj2wy

GAN-based disentanglement learning for chest X-ray rib suppression [article]

Luyi Han, Yuanyuan Lyu, Cheng Peng, S.Kevin Zhou
2021 arXiv   pre-print
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the reliability of pulmonary disease diagnosis.  ...  We hereby propose a GAN-based disentanglement learning framework called Rib Suppression GAN, or RSGAN, to perform rib suppression by utilizing the anatomical knowledge embedded in unpaired computed tomography  ...  Introduction Chest X-ray (CXR), a 2D projection of a 3D scene from an X-ray source, and computed tomography (CT), which reconstructs a 3D scene based on a collection of 2D X-ray projections, are the widely  ... 
arXiv:2110.09134v1 fatcat:fleobmo6vzdyvnvfj4s4jo6vgq

Latent representation learning in biology and translational medicine

Andreas Kopf, Manfred Claassen
2021 Patterns  
Current data generation capabilities in the life sciences render scientists in an apparently contradicting situation.  ...  We anticipate that a wider dissemination of latent variable modeling in the life sciences will enable a more effective and productive interpretation of studies based on heterogeneous and high-dimensional  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their feedback and insightful suggestions to improve this review. A.K. was supported by the grants SystemsX.ch HDL-X and PHRT 2017-103.  ... 
doi:10.1016/j.patter.2021.100198 pmid:33748792 pmcid:PMC7961186 fatcat:d6ttueb5rbhotbsztha3wyvjt4

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review [article]

Felipe Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali Gupte, May D. Wang
2022 arXiv   pre-print
We find that successful use of XAI can improve model performance, instill trust in the end-user, and provide the value needed to affect user decision-making.  ...  We hope this review may serve as a guide to improve the clinical impact of future AI-based solutions.  ...  Siva Bhavani from Emory University for his insights on leveraging artificial intelligence in clinical practice. We would like to thank Mr.  ... 
arXiv:2112.12705v4 fatcat:g44642qdnfchnmhgzsaqwjacua

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIP 2021 7074-7089 Diseases Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions [article]

Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar, Naeem K. Janjua
2019 arXiv   pre-print
This technology has recently attracted so much interest of the Medical Imaging community that it led to a specialized conference in 'Medical Imaging with Deep Learning' in the year 2018.  ...  .; where the techniques of dealing with such challenges have already matured, to provide promising directions for the Medical Imaging community to fully harness Deep Learning in the future.  ...  [84] proposed a technique for the localization and identification of thoraic diseases in public database NIH X-ray 4 that comprises 120 frontal view X-ray images with 14 labels.  ... 
arXiv:1902.05655v1 fatcat:mjplenjrprgavmy5ssniji4cam

2021 Index IEEE Journal of Biomedical and Health Informatics Vol. 25

2021 IEEE journal of biomedical and health informatics  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, JBHI Feb. 2021 441-452 COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.  ... 
doi:10.1109/jbhi.2022.3140980 fatcat:ufig7b54gfftnj3mocspoqbzq4

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions

Fouzia Altaf, Syed M S Islam, Naveed Akhtar, Naeem Khalid Janjua
2019 IEEE Access  
This technology has recently attracted so much interest of the Medical Imaging Community that it led to a specialized conference in "Medical Imaging with Deep Learning" in the year 2018.  ...  This paper provides a unique computer vision/machine learning perspective taken on the advances of deep learning in medical imaging.  ...  [89] proposed a technique for the localization and identification of thoraic diseases in public database NIH X-ray 4 that comprises 120 frontal view X-ray images with 14 labels.  ... 
doi:10.1109/access.2019.2929365 fatcat:arimcbjaxrd3zcsjyzd7abjgd4

Table of Contents

2020 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  
Pixel-Basis in Parallel- Beam X-Ray CT Reconstruction, pp. 624-628.  ...  X-Ray Data for Localization of Abnormalities, pp. 799-803.  ... 
doi:10.1109/isbi45749.2020.9098467 fatcat:6kxbkb2s5bdc5cmjvxjhotccay

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Deep Learning with Mix Match for Covid-19 Detection Using Chest X-Ray Images DAY 2 -Jan 13, 2021 Nguyen, Phuc; lathuiliere, Stéphane; Ricci, Elisa 1470 Multi-Domain Image-To-Image Translation  ...  Tuberculosis Screening of Chest X-Rays DAY 4 -Jan 15, 2021 Tomosada, Hiroki; Kudo, Takahiro; Fujisawa, Takanori; ikehara, masaaki 1059 GAN-Based Image Deblurring Using DCT Discriminator DAY  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

6th International Conference "Nanotechnology"

Levan Chkhartishvili, Mikheil Chikhradze
2022 Nano Studies  
The GTUnano2021 is held in memory of Prof. Alex Gerasimov, the initiator of GTU's regular series of nanoconferences in Georgia.  ...  The universities, institutes, research centers, etc. leading in the field of nanotechnology and nanosciences from 20 countries (  ...  It has been obtained the Seebeck coefficient and electric resistivity is higher in the ternary than in the binary InAs; this is advantageous for the design of thermoelectric devices.  ... 
doi:10.52340/ns.2021.06 fatcat:hotiv77y75bd7h2ecainx5ies4

Three-dimensional point-cloud room model in room acoustics simulations

Milos Markovic, So/ren K. Olesen, Dorte Hammersho/i
2013 Journal of the Acoustical Society of America  
So it is possible that binaural synthesis with HRTFs for a fixed source distance may result in degradations for proximal sound image perception.  ...  The tongue atlas is unprecedented and opens new vistas for exploring normal and diseased oral structures and function. 4pSCb14.  ...  This paper offers a comparison of both systematic and random walk exploration for generating samples within a constrained prior.  ... 
doi:10.1121/1.4806371 fatcat:ln4w6j7cjvchrckf2gzfmeiwoi

Speaker comfort and increase of voice level in lecture rooms

Jonas Brunskog, Anders C. Gade, Gaspar Payà Bellester, Lilian Reig Calbo
2008 Journal of the Acoustical Society of America  
Presence vs. absence of a dip in intensity, duration of that dip, and degree of that dip in decibels are manipulated.  ...  Degree of intensity dip has the strongest effect, with a minimal dip in intensity more likely to be perceived as 'kneel' and a strong dip in intensity more likely to be perceived as 'needle. ' The results  ...  To model these phenomena we start with a three mass cover model of the human larynx which can vibrate in chest and falsetto like patterns.  ... 
doi:10.1121/1.2934367 fatcat:xr6gp4ldo5bylnxytx2iumrdmi

Fine‐structure processing, frequency selectivity and speech perception in hearing‐impaired listeners

Olaf Strelcyk, Torsten Dau
2008 Journal of the Acoustical Society of America  
Presence vs. absence of a dip in intensity, duration of that dip, and degree of that dip in decibels are manipulated.  ...  Degree of intensity dip has the strongest effect, with a minimal dip in intensity more likely to be perceived as 'kneel' and a strong dip in intensity more likely to be perceived as 'needle. ' The results  ...  To model these phenomena we start with a three mass cover model of the human larynx which can vibrate in chest and falsetto like patterns.  ... 
doi:10.1121/1.2935148 fatcat:nqyyia5pubamnhqgonegghrudm
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