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Book: Oxford textbook of anaesthesia for the obese patient

Sinha, Ashish C.

(Oxford textbooks in anaesthesia)

2021

Title variant	Textbook of anaesthesia for the obese patient ; Anaesthesia for the obese patient
Author's details	edited by Ashish C. Sinha
Series title	Oxford textbooks in anaesthesia
Keywords	Anesthesia/Complications ; Anesthesiology ; Obesity/Complications ; Overweight persons/Medical care
Subject code	617.96041
Language	English
Size	xii, 350 Seiten, Illustrationen, 28 cm
Publisher	Oxford University Press
Publishing place	Oxford
Publishing country	Great Britain
Document type	Book
HBZ-ID	HT020911579
ISBN	978-0-19-875714-6 ; 9780191074219 ; 0-19-875714-X ; 0191074217
Database	Catalogue ZB MED Medicine, Health

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2021 A 599	available for loan (reading room)	Lesesaal EG

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Article ; Online: Modern Indo-Pacific tropical drying trend in the context of the last 2700 years.

Sinha, Ashish

Science bulletin

2019 Volume 65, Issue 3, Page(s) 173–174

Language	English
Publishing date	2019-11-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2816140-3
ISSN	2095-9281 ; 2095-9273
ISSN (online)	2095-9281
ISSN	2095-9273
DOI	10.1016/j.scib.2019.11.027
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: MEnsA

Sinha, Ashish / Choi, Jonghyun

Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds

2023

Abstract: Unsupervised domain adaptation (UDA) addresses the problem of distribution shift between the unlabelled target domain and labelled source domain. While the single target domain adaptation (STDA) is well studied in the literature for both 2D and 3D vision ...

Abstract	Unsupervised domain adaptation (UDA) addresses the problem of distribution shift between the unlabelled target domain and labelled source domain. While the single target domain adaptation (STDA) is well studied in the literature for both 2D and 3D vision tasks, multi-target domain adaptation (MTDA) is barely explored for 3D data despite its wide real-world applications such as autonomous driving systems for various geographical and climatic conditions. We establish an MTDA baseline for 3D point cloud data by proposing to mix the feature representations from all domains together to achieve better domain adaptation performance by an ensemble average, which we call Mixup Ensemble Average or MEnsA. With the mixed representation, we use a domain classifier to improve at distinguishing the feature representations of source domain from those of target domains in a shared latent space. In empirical validations on the challenging PointDA-10 dataset, we showcase a clear benefit of our simple method over previous unsupervised STDA and MTDA methods by large margins (up to 17.10% and 4.76% on averaged over all domain shifts). Comment: Accepted at Workshop on Learning with Limited Labelled Data (CVPR 2023)
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence
Subject code	006 ; 004
Publishing date	2023-04-04
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Scale Self-Guided Attention for Medical Image Segmentation.

Sinha, Ashish / Dolz, Jose

IEEE journal of biomedical and health informatics

2021 Volume 25, Issue 1, Page(s) 121–130

Abstract: Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use of multi-scale approaches, i.e., encoder-decoder architectures, leads to a redundant use of ... ...

Abstract	Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use of multi-scale approaches, i.e., encoder-decoder architectures, leads to a redundant use of information, where similar low-level features are extracted multiple times at multiple scales. Second, long-range feature dependencies are not efficiently modeled, resulting in non-optimal discriminative feature representations associated with each semantic class. In this paper we attempt to overcome these limitations with the proposed architecture, by capturing richer contextual dependencies based on the use of guided self-attention mechanisms. This approach is able to integrate local features with their corresponding global dependencies, as well as highlight interdependent channel maps in an adaptive manner. Further, the additional loss between different modules guides the attention mechanisms to neglect irrelevant information and focus on more discriminant regions of the image by emphasizing relevant feature associations. We evaluate the proposed model in the context of semantic segmentation on three different datasets: abdominal organs, cardiovascular structures and brain tumors. A series of ablation experiments support the importance of these attention modules in the proposed architecture. In addition, compared to other state-of-the-art segmentation networks our model yields better segmentation performance, increasing the accuracy of the predictions while reducing the standard deviation. This demonstrates the efficiency of our approach to generate precise and reliable automatic segmentations of medical images. Our code is made publicly available at: https://github.com/sinAshish/Multi-Scale-Attention.
MeSH term(s)	Humans ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; Semantics
Language	English
Publishing date	2021-01-05
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2020.2986926
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Starting Residency with COVID-19.

Khosravi, Seena / Sinha, Ashish

HCA healthcare journal of medicine

2020 Volume 1, Page(s) 453–455

Abstract: Introduction By Dr. Ashish Sinha, MD, PhD, DABA, MBA, FASA As a Program Director of a just established anesthesia program, one faces enough challenges. A curve ball that I was not expecting was one of my residents to inform me on July 3rd that he was ... ...

Abstract	Introduction By Dr. Ashish Sinha, MD, PhD, DABA, MBA, FASA As a Program Director of a just established anesthesia program, one faces enough challenges. A curve ball that I was not expecting was one of my residents to inform me on July 3rd that he was feeling feverish with chills, had myalgia and a headache. First response in my mind, that I didn't verbalize was, "Anosmia too?" I arranged COVID testing ASAP in a drive-by setting, which we could avail immediately. My resident had driven from New Orleans, LA to Riverside, CA, making a few stops along the way, (food, gas, rest) utilizing the best safety he could practice. To no one's surprise the test came back positive. My resident needed to not feel abandoned by program, co-residents or institution. To keep him involved, while quarantined, I asked him to join us in all academic activities by Zoom and further gave him this introspective assignment. He took on this task with enthusiasm and provided a great piece, or at least I think so!
Language	English
Publishing date	2020-11-28
Publishing country	United States
Document type	Journal Article
ISSN	2689-0216
ISSN (online)	2689-0216
DOI	10.36518/2689-0216.1172
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Karst carbon sink processes and effects: A review

Chen, Lvfan / Tan, Liangcheng / Zhao, Min / Sinha, Ashish / Wang, Tianli / Gao, Yongli

Quaternary International.

2023

Abstract: On shorter time scales, the karst carbon cycle coupled with photosynthesis, is a potential carbon sink. The surface water biological carbon pump (BCP) plays an important role by transforming dissolved inorganic carbon (DIC) to organic carbon (OC), ... ...

Abstract	On shorter time scales, the karst carbon cycle coupled with photosynthesis, is a potential carbon sink. The surface water biological carbon pump (BCP) plays an important role by transforming dissolved inorganic carbon (DIC) to organic carbon (OC), forming a stable carbon sink through a series of biogeochemical processes on shorter timescales (i.e., years to thousands of years). A comprehensive understanding of the karst carbon sink (KCS) is important in understanding its role in the global carbon budget and carbon neutrality. In this paper, we review the current progress and prospect future research of KCS. The world is facing a quick change in climate and rapid variation in land-use, so the interaction mechanism between the above two and KCS needs to be further understood. Manual intervention to increase KCS also deserves attention. Meanwhile, due to the complexity of the karst system and karst carbon cycle, a comprehensive (water, rock, soil, atmosphere, biology) karst carbon cycle monitoring system needs to be established, integrating different types of carbon sink (e.g., soil, forest, karst) under a research framework. An in-depth understanding of these aspects will help KCS better serve the sustainable development of human society.
Keywords	carbon cycle ; carbon sinks ; climate ; dissolved inorganic carbon ; forests ; global carbon budget ; humans ; karsts ; land use ; organic carbon ; photosynthesis ; soil ; surface water ; sustainable development ; Karstification ; Carbon sink effect ; Carbonate weathering ; Climate change
Language	English
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ISSN	1040-6182
DOI	10.1016/j.quaint.2023.02.009
Database	NAL-Catalogue (AGRICOLA)

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Article: Acceptance of covid-19 vaccine among the healthcare providers in India.

Samantaray, Aurobindo / Dora, Susmita / Sinha, Ashish K / Panda, Prem S

Journal of family medicine and primary care

2022 Volume 11, Issue 7, Page(s) 3465–3470

Abstract: Background: By increasing immunity, the corona virus disease-19 (COVID-19) vaccine is expected to reduce the rate of infection and severity of infection, as well as the rate of hospitalisation. Healthcare providers (HCPs) can provide a good example when ...

Abstract	Background: By increasing immunity, the corona virus disease-19 (COVID-19) vaccine is expected to reduce the rate of infection and severity of infection, as well as the rate of hospitalisation. Healthcare providers (HCPs) can provide a good example when it comes to their health habits. HCPs are believed to have the best vaccine acceptance rates because they are open-minded and informed. By concentrating on COVID-19 vaccine attitudes among HCPs in India, the current study gives a clear picture of vaccine acceptability. Material and methods: A cross-sectional observational study approach was used. Participants in the study gave their informed permission. Snowball sampling was employed to spread the survey around social media platforms (mostly WhatsApp groups and email IDs). The survey was open from April 1 through April 30, 2021, and a total of 316 responses were received. SPSS software, version 25, was used for statistical analysis (SPSS, Inc., Chicago, IL, USA). Results: The participants' average age was 32.8 ± 9.7, with 57% of them being male. 16.5% of the 316 individuals had a history of chronic illness. 40.5% had ever experienced COVID-19 symptoms, and 24.1% had been diagnosed with COVID-19 while on duty. Only 16.5% strongly agreed that they could get COVID-19 in the near future, and 48.1% disputed that obtaining COVID-19 infection would make them very unwell. Only 40.5% of participants were concerned about the possible side effects of the vaccine, while 63.2% were not concerned about the possible side effects of the vaccine. Only 39.2% were concerned about the affordability (high price) of vaccines. The majority (95%) of participants agreed to be vaccinated when sufficient information was provided, and only 31.7% agreed to be vaccinated if they were vaccinated free of charge. Conclusion: Due to the high level of current willingness among healthcare professionals to accept COVID-19 vaccines, these data may not be available to the general public. Understanding the complex and interrelated factors that influence vaccination decisions and the determinants of vaccine hesitancy in a particular population is essential to inform interventions to improve immunization coverage.
Language	English
Publishing date	2022-07-22
Publishing country	India
Document type	Journal Article
ZDB-ID	2735275-4
ISSN	2278-7135 ; 2249-4863
ISSN (online)	2278-7135
ISSN	2249-4863
DOI	10.4103/jfmpc.jfmpc_2165_21
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Status of socio-demographic and behavioral profile of younger and older HIV high risk groups in Chhattisgarh.

Sinha, Ashish K / Samantaray, Aurobindo / Panda, Prem S / Shinkar, Swapnil V

Journal of family medicine and primary care

2022 Volume 11, Issue 5, Page(s) 1734–1739

Abstract: Background: The prevention of new infections in high-risk groups is a major thrust in National AIDS Control Program. There is enough evidence that many epidemiological and behavioral determinants which make High Risk Group vulnerable to HIV transmission. ...

Abstract	Background: The prevention of new infections in high-risk groups is a major thrust in National AIDS Control Program. There is enough evidence that many epidemiological and behavioral determinants which make High Risk Group vulnerable to HIV transmission. The most effective means of controlling the spread of HIV is through the implementation of Targeted Interventions (TIs) efforts by which services are catered to them. Furthermore, stigma and marginalization are often linked to this population, which may lead to difficulties while accessing social and health services (SHS) due to behavioral, cultural and language barriers or lack of knowledge of the system. So, finding the sociodemographic & behavioral profile can give a breakthrough in improving the quality of life of HIV high risk groups. Material and methods: A cross sectional study was conducted during September to December 2019 in two districts (i.e., Raipur & Durg) among HRGs of Chhattisgarh. Training cum sensitization of survey team e.g., peer educators, outreach workers, counselors, project managers prior to the survey was done for data collection. Results: A Total of 3963 HRGs were registered with TI NGOs, 3418 (86.2%) were screened. The mean age of study participants was 27.69 ± 6.1. Compliance of participation was 86.2%. HRGs were observed to have malnutrition (BMI <18.5 &> 25.0). 7 cases of Pulmonary TB were found among IDUs. Prevalence of diabetes and Hypertension was 1.2% and 1.1% respectively. Substance abuse (i.e., for Alcohol and Tobacco) was significantly higher among IDUs and FSWs. Conclusion: This study reinforces the fact that for accessing High Risk Groups and retrieval of relevant information can best be obtained by their care givers i.e., TI NGOs personnel. Also understanding the sociodemographic and behavioral profiles are central to designing targeted HIV prevention interventions for them.
Language	English
Publishing date	2022-05-14
Publishing country	India
Document type	Journal Article
ZDB-ID	2735275-4
ISSN	2278-7135 ; 2249-4863
ISSN (online)	2278-7135
ISSN	2249-4863
DOI	10.4103/jfmpc.jfmpc_1188_21
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Treatment of Complex Desmoid Tumors in Familial Adenomatous Polyposis Syndrome by Intestinal Transplantation.

Canovai, Emilio / Butler, Andrew / Clark, Susan / Latchford, Andrew / Sinha, Ashish / Sharkey, Lisa / Rutter, Charlotte / Russell, Neil / Upponi, Sara / Amin, Irum

Transplantation direct

2024 Volume 10, Issue 2, Page(s) e1571

Abstract: Background: Desmoid tumors are fibroblastic lesions which often have an unpredictable and variable clinical course. In the context of familial adenomatous polyposis (FAP), these frequently occur intra-abdominally, especially in the small-bowel mesentery ...

Abstract	Background: Desmoid tumors are fibroblastic lesions which often have an unpredictable and variable clinical course. In the context of familial adenomatous polyposis (FAP), these frequently occur intra-abdominally, especially in the small-bowel mesentery resulting in sepsis, fistulation, and invasion of the abdominal wall and retroperitoneum. In selected cases where other modalities have failed, the most radical option is to perform a total enterectomy and intestinal transplantation (ITx). In this study, we present our center's experience of ITx for desmoid in patients with FAP. Methods: We performed a retrospective review of our prospectively collected database between 2007 and 2022. All patients undergoing ITx for FAP-related desmoid were included. Results: Between October 2007 and September 2023, 144 ITx were performed on 130 patients at our center. Of these, 15 patients (9%) were for desmoid associated with FAP (7 modified multivisceral transplants, 6 isolated ITx, and 2 liver-containing grafts). The median follow-up was 57 mo (8-119); 5-y patient survival was 82%, all with functioning grafts without local desmoid recurrence. These patients presented us with several complex surgical issues, such as loss of abdominal domain, retroperitoneal/abdominal wall involvement, ileoanal pouch-related issues, and the need for foregut resection because of adenomatous disease. Conclusions: ITx is a viable treatment in selected patients with FAP and extensive desmoid disease. The decision to refer for ITx can be challenging, particularly the timing and sequence of treatment (simultaneous versus sequential exenteration). Delays can result in additional disease burden, such as secondary liver disease or invasion of adjacent structures.
Language	English
Publishing date	2024-01-19
Publishing country	United States
Document type	Journal Article
ISSN	2373-8731
ISSN	2373-8731
DOI	10.1097/TXD.0000000000001571
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: DermSynth3D: Synthesis of in-the-wild annotated dermatology images.

Sinha, Ashish / Kawahara, Jeremy / Pakzad, Arezou / Abhishek, Kumar / Ruthven, Matthieu / Ghorbel, Enjie / Kacem, Anis / Aouada, Djamila / Hamarneh, Ghassan

Medical image analysis

2024 Volume 95, Page(s) 103145

Abstract: In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations, including a small number of image samples, limited disease conditions, ... ...

Abstract	In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations, including a small number of image samples, limited disease conditions, insufficient annotations, and non-standardized image acquisitions. To address these shortcomings, we propose a novel framework called DermSynth3D. DermSynth3D blends skin disease patterns onto 3D textured meshes of human subjects using a differentiable renderer and generates 2D images from various camera viewpoints under chosen lighting conditions in diverse background scenes. Our method adheres to top-down rules that constrain the blending and rendering process to create 2D images with skin conditions that mimic in-the-wild acquisitions, ensuring more meaningful results. The framework generates photo-realistic 2D dermatological images and the corresponding dense annotations for semantic segmentation of the skin, skin conditions, body parts, bounding boxes around lesions, depth maps, and other 3D scene parameters, such as camera position and lighting conditions. DermSynth3D allows for the creation of custom datasets for various dermatology tasks. We demonstrate the effectiveness of data generated using DermSynth3D by training DL models on synthetic data and evaluating them on various dermatology tasks using real 2D dermatological images. We make our code publicly available at https://github.com/sfu-mial/DermSynth3D.
Language	English
Publishing date	2024-03-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1356436-5
ISSN	1361-8423 ; 1361-8431 ; 1361-8415
ISSN (online)	1361-8423 ; 1361-8431
ISSN	1361-8415
DOI	10.1016/j.media.2024.103145
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