no code implementations • 2 May 2024 • Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu, Young-Ho Kim, Laura Stanciulescu, Harshitha P. Sai, Puneet Sharma, Alistair Young, Ronak Rajani, Kawal Rhode
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures.
no code implementations • 2 May 2024 • Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas Maier, Dorin Comaniciu, Florin C. Ghesu
An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac interventions.
no code implementations • 18 Dec 2023 • Yifan Wu, Rohit Jena, Mehmet Gulsun, Vivek Singh, Puneet Sharma, James C. Gee
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease.
no code implementations • 16 Oct 2023 • Athira J Jacob, Puneet Sharma, Daniel Ruckert
Using deep implicit shape representations, the algorithm learns a modality-agnostic shape model that can generate the signed distance functions for any anatomy of interest.
no code implementations • 30 Mar 2023 • Florin Condrea, Saikiran Rapaka, Lucian Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death.
no code implementations • 6 Sep 2021 • Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt, Christoph Forman, Teodora Chitiboi, Puneet Sharma, Juliano Lara Fernandes, Christoph Tillmanns, Jens Wetzl, Andreas Maier
In this work, automated RP detection has been introduced by the proposed framework and demonstrated feasibility, robustness, and applicability for static imaging acquisitions.
no code implementations • 8 Aug 2020 • Aditya Dhakal, Junguk Cho, Sameer G. Kulkarni, K. K. Ramakrishnan, Puneet Sharma
Spatial sharing of GPU enables multiplexing several DNNs on the GPU and can improve GPU utilization, thus improving throughput and lowering latency.
no code implementations • 19 May 2020 • Rajeev Bhatt Ambati, Ahmed Ada Hanifi, Ramya Vunikili, Puneet Sharma, Oladimeji Farri
Multi-label sentences (text) in the clinical domain result from the rich description of scenarios during patient care.
1 code implementation • 16 Apr 2020 • Pradeeban Kathiravelu, Puneet Sharma, ASHISH SHARMA, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile Safdar, Judy Wawira Gichoya
Executing machine learning (ML) pipelines in real-time on radiology images is hard due to the limited computing resources in clinical environments and the lack of efficient data transfer capabilities to run them on research clusters.
no code implementations • 3 Mar 2020 • Siddharth Dwivedi, Andrea Addazi, Yang Zhou, Puneet Sharma
We study the multi-boundary entanglement structure of the states prepared in (1+1) and (2+1) dimensional Chern-Simons theory with finite discrete gauge group $G$.
High Energy Physics - Theory Mesoscale and Nanoscale Physics Quantum Physics
no code implementations • 7 Nov 2018 • Costin Ciusdel, Alexandru Turcea, Andrei Puiu, Lucian Itu, Lucian Calmac, Emma Weiss, Cornelia Margineanu, Elisabeta Badila, Martin Berger, Thomas Redel, Tiziano Passerini, Mehmet Gulsun, Puneet Sharma
Detection of the end-diastolic frame (EDF) and, in general, cardiac phase detection on each temporal frame of a coronary angiography acquisition is of significant importance for the anatomical and non-invasive functional assessment of CAD.
1 code implementation • 8 May 2018 • Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
The output imbalance refers to the imbalance between the false positives and false negatives of the inference model.
no code implementations • 14 Apr 2018 • Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risks for vanishing gradients.
no code implementations • 20 May 2013 • Govind Salvi, Puneet Sharma, Shanmuganathan Raman
In this paper, we address the problem of displaying the high contrast low dynamic range (LDR) image of a HDR scene in a display device which has different spatial resolution compared to that of the capturing digital camera.