Garima Gaur

Comparative Radiobiological Evaluation of Radiotherapy Techniques Using Equivalent Uniform Dose, Tumor Control Probability, and Normal Tissue Complication Probability in Postmastectomy Breast Cancer

Garima Gaur, Gurpreet Kaur, Baltej Singh, Pardeep Garg et autres

Abstract Introduction: Postmastectomy radiotherapy plays a pivotal role in improving locoregional control and survival outcomes in early as well as in advanced-stage breast cancer patients. With the transition from conventional radiotherapy techniques to advanced intensity-modulated approaches, evaluation based solely on physical dose …

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The Correlation between Dose Homogeneity Index and Target Volume in Intracavitary Brachytherapy Treatment Plans of Cervical Cancer Patients

Gurpreet Kaur, Vinod Kumar Dangwal, Garima Gaur, Romikant Grover et autres

Aim: The aim is to calculate and correlate dose homogeneity index (DHI) with the target volume of intracavitary brachytherapy (ICBT) plans for cervical cancer patients. Introduction: In the case of brachytherapy, the dose distribution is heterogeneous as a very high radiation dose …

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Dosimetric Comparison of Various Radiotherapy Planning Techniques in Postmastectomy Breast Cancer Patients

Garima Gaur, Gurpreet Kaur, Pardeep Garg, Raja Paramjeet Singh Banipal et autres

Introduction: Breast cancer is the most common cancer in females worldwide. Radiation therapy has occupied a very important role in the treatment of women with breast cancer in early as well as in advanced stage. Various modern states of art radiotherapy techniques …

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The Search for Conflicts of Interest: Open Information Extraction in Scientific Publications

Garima Gaur, Oana Balalau, Ioana Manolescu, Prajna Upadhyay

A conflict of interest (COI) appears when a person or a company has two or more interests that may directly conflict.This happens, for instance, when a scientist whose research is funded by a company audits the same company.For transparency and to avoid …

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FactCheckBureau: Build Your Own Fact-Check Analysis Pipeline

Oana Balalau, Pablo Bertaud-Velten, Younes El-Fraihi, Garima Gaur et autres

Also informally presented at BDA 2024

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Assessment of pulmonary function tests in carcinoma esophagus patients treated with three-dimensional conformal radiation therapy versus intensity-modulated radiation therapy

Navik Goyal, Pardeep Garg, Kiranjit Kaur, Manraj Singh Kang et autres

ABSTRACT Background: Three-dimensional conformal radiation therapy (3DCRT) provided enhancement in target delineation for the avoidance of normal structures, but considerable doses are still received by normal tissues. Intensity-modulated radiation therapy (IMRT) manipulates the photon beams of radiation to conform to the shape …

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Tumor Control and Normal Tissue Complications in High-dose-rate Brachytherapy for Cervical Cancer Patients Using Ir-192 Radioactive Source

Gurpreet Kaur, Pardeep Garg, Vinod Kumar Dangwal, Baltej Singh et autres

Introduction: The purpose of the study was to calculate, tumor control probability (TCP) and normal tissue complication probability (NTCP) in cervical cancer patients and to clinically correlate the outcomes with a follow-up period of 24 months. Materials and Methods: One hundred and …

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NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs

Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam Mausam

While Knowledge Graph Completion (KGC) on static facts is a matured field, Temporal Knowledge Graph Completion (TKGC), that incorporates validity time into static facts is still in its nascent stage. The KGC methods fall into multiple categories including embedding-based, rule-based, GNN-based, pretrained …

Dosimetric Comparison of Different Dose Calculation Algorithms in Postmastectomy Breast Cancer Patients Using Conformal Planning Techniques

Garima Gaur, Vinod Kumar Dangwal, Raja Paramjeet Singh Banipal, Ranjit Singh et autres

Background: The aim of the current study was to compare three different dose-calculating algorithms, i.e., superposition (SP), fast SP (FSP), and convolution (CV), for breast cancer patients treated with intensity-modulated radiotherapy (IMRT) and field-in-Field forward plan IMRT (FiF-FP-IMRT). Materials and Methods: The …

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Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases

Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta et autres

The lack of robust representation learning techniques tailored for relational data has led to the underwhelming application of ML models to handle database relevant downstream tasks. Recent works that attempt to embed tabular data into a low dimensional latent space have focused …

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The Correlation between Dose Homogeneity Index and Target Volume in Intracavitary Brachytherapy Treatment Plans of Cervical Cancer Patients

Gurpreet Kaur, Vinod Kumar Dangwal, Garima Gaur, Romikant Grover et autres

Aim: The aim is to calculate and correlate dose homogeneity index (DHI) with the target volume of intracavitary brachytherapy (ICBT) plans for cervical cancer patients. Introduction: In the case of brachytherapy, the dose distribution is heterogeneous as a very high radiation dose …

in (code pays fourni par la source)

NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs

Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam Mausam

Neuro-symbolic (NS) models for knowledge graph completion (KGC) combine the benefits of symbolic models (interpretable inference) with those of distributed representations (parameter sharing, high accuracy).While several NS models exist for KGs with static facts, there is limited work on temporal KGC (TKGC) …

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