Search Results - "Chatterjee, Avishek"

Deep learning in head & neck cancer outcome prediction by Diamant, André, Chatterjee, Avishek, Vallières, Martin, Shenouda, George, Seuntjens, Jan

“…Traditional radiomics involves the extraction of quantitative texture features from medical images in an attempt to determine correlations with clinical…”
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Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods by Mali, Shruti Atul, Ibrahim, Abdalla, Woodruff, Henry C, Andrearczyk, Vincent, Müller, Henning, Primakov, Sergey, Salahuddin, Zohaib, Chatterjee, Avishek, Lambin, Philippe

“…Radiomics converts medical images into mineable data via a high-throughput extraction of quantitative features used for clinical decision support. However,…”
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Performance of Knowledge-Based Radiation Therapy Planning for the Glioblastoma Disease Site by Chatterjee, Avishek, Serban, Monica, Abdulkarim, Bassam, Panet-Raymond, Valerie, Souhami, Luis, Shenouda, George, Sabri, Siham, Jean-Claude, Bertrand, Seuntjens, Jan

“…The presence of multiple serial organs at risk (OARs) in close proximity to the tumor makes treatment planning for glioblastoma (GBM) complex and time…”
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Nucleoredoxin Vis-à-Vis a Novel Thioredoxin in Regulating Oxidative Stress in Plants: A Review by Hazra, Soham, Chatterjee, Avishek, Bhattacharyya, Somnath, Sen, Poulomi

“…Unavoidable biotic and abiotic stresses-led reactive oxygen species (ROS) generation has a profound negative impact on cellular intergradations. To impede the…”
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Genetic and functional mechanisms of yield-related genes in rice by Sen, Poulomi, Chatterjee, Avishek, Kumar, Deepak, Bhattacharyya, Somnath, Bandyopadhyay, Sayani, Sarkar, Apurba

“…Rice yield potentiality has been enhanced much after incorporating semi-dwarf trait in rice, which has led to the Green Revolution worldwide, but afterward,…”
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Bacterium-incorporated fly ash geopolymer: a high-performance, thermo-stable cement alternative for future construction material by Chatterjee, Avishek, Sarkar, Atreyee, Ghosh, Sudip, Mandal, Saroj, Chattopadhyay, Brajadulal

“…Cement, the primary construction material, releases a substantial quantity of CO 2 (about 5–7% of total CO 2 emission) in the atmosphere during its production,…”
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Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis by Lavrova, Elizaveta, Lommers, Emilie, Woodruff, Henry C, Chatterjee, Avishek, Maquet, Pierre, Salmon, Eric, Lambin, Philippe, Phillips, Christophe

“…Conventional magnetic resonance imaging (cMRI) is poorly sensitive to pathological changes related to multiple sclerosis (MS) in normal-appearing white matter…”
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Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine: A Deterministic Simulation Study by Chatterjee, Avishek, Woodruff, Henry, Wu, Guangyao, Lambin, Philippe

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Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study by Chatterjee, Avishek, Wu, Guangyao, Primakov, Sergey, Oberije, Cary, Woodruff, Henry, Kubben, Pieter, Henry, Ronald, Aries, Marcel J H, Beudel, Martijn, Noordzij, Peter G, Dormans, Tom, Gritters van den Oever, Niels C, van den Bergh, Joop P, Wyers, Caroline E, Simsek, Suat, Douma, Renée, Reidinga, Auke C, de Kruif, Martijn D, Guiot, Julien, Frix, Anne-Noelle, Louis, Renaud, Moutschen, Michel, Lovinfosse, Pierre, Lambin, Philippe

“…To establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age…”
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Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC by Keek, Simon A., Kayan, Esma, Chatterjee, Avishek, Belderbos, José S. A., Bootsma, Gerben, van den Borne, Ben, Dingemans, Anne-Marie C., Gietema, Hester A., Groen, Harry J. M., Herder, Judith, Pitz, Cordula, Praag, John, De Ruysscher, Dirk, Schoenmaekers, Janna, Smit, Hans J. M., Stigt, Jos, Westenend, Marcel, Zeng, Haiyan, Woodruff, Henry C., Lambin, Philippe, Hendriks, Lizza

“…Introduction: Despite radical intent therapy for patients with stage III non-small-cell lung cancer (NSCLC), cumulative incidence of brain metastases (BM)…”
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Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics by Keek, Simon A., Beuque, Manon, Primakov, Sergey, Woodruff, Henry C., Chatterjee, Avishek, van Timmeren, Janita E., Vallières, Martin, Hendriks, Lizza E. L., Kraft, Johannes, Andratschke, Nicolaus, Braunstein, Steve E., Morin, Olivier, Lambin, Philippe

“…Introduction There is a cumulative risk of 20–40% of developing brain metastases (BM) in solid cancers. Stereotactic radiotherapy (SRT) enables the application…”
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High Quality Photometric Reconstruction Using a Depth Camera by Haque, Sk Mohammadul, Chatterjee, Avishek, Govindu, Venu Madhav

“…In this paper we present a depth-guided photometric 3D reconstruction method that works solely with a depth camera like the Kinect. Existing methods that fuse…”
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Automated detection and delineation of lymph nodes in haematoxylin & eosin stained digitised slides by Beuque, Manon, Magee, Derek R., Chatterjee, Avishek, Woodruff, Henry C., Langley, Ruth E., Allum, William, Nankivell, Matthew G., Cunningham, David, Lambin, Philippe, Grabsch, Heike I.

“…Treatment of patients with oesophageal and gastric cancer (OeGC) is guided by disease stage, patient performance status and preferences. Lymph node (LN) status…”
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Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology by Halilaj, Iva, Oberije, Cary, Chatterjee, Avishek, van Wijk, Yvonka, Rad, Nastaran Mohammadian, Galganebanduge, Prabash, Lavrova, Elizaveta, Primakov, Sergey, Widaatalla, Yousif, Wind, Anke, Lambin, Philippe

“…(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and…”
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AI-Based Chest CT Analysis for Rapid COVID-19 Diagnosis and Prognosis: A Practical Tool to Flag High-Risk Patients and Lower Healthcare Costs by Esposito, Giovanni, Ernst, Benoit, Henket, Monique, Winandy, Marie, Chatterjee, Avishek, Van Eyndhoven, Simon, Praet, Jelle, Smeets, Dirk, Meunier, Paul, Louis, Renaud, Kolh, Philippe, Guiot, Julien

“…Early diagnosis of COVID-19 is required to provide the best treatment to our patients, to prevent the epidemic from spreading in the community, and to reduce…”
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Improving shared decision making for lung cancer treatment by developing and validating an open-source web based patient decision aid for stage I-II non-small cell lung cancer by Halilaj, Iva, Ankolekar, Anshu, Lenaers, Anouk, Chatterjee, Avishek, Oberije, Cary J G, Eppings, Lisanne, Smit, Hans J M, Hendriks, Lizza E L, Jochems, Arthur, Lieverse, Relinde I Y, van Timmeren, Janita E, Wind, Anke, Lambin, Philippe

“…The aim of this study was to develop and evaluate a proof-of-concept open-source individualized Patient Decision Aid (iPDA) with a group of patients,…”
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Robust Relative Rotation Averaging by Chatterjee, Avishek, Govindu, Venu Madhav

“…This paper addresses the problem of robust and efficient relative rotation averaging in the context of large-scale Structure from Motion. Relative rotation…”
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Efficient and Robust Large-Scale Rotation Averaging by Chatterjee, Avishek, Govindu, Venu Madhav

“…In this paper we address the problem of robust and efficient averaging of relative 3D rotations. Apart from having an interesting geometric structure, robust…”
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Transparency of deep neural networks for medical image analysis: A review of interpretability methods by Salahuddin, Zohaib, Woodruff, Henry C., Chatterjee, Avishek, Lambin, Philippe

“…Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions. Deep neural networks have…”
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Reversing food preference through multisensory exposure by Chatterjee, Avishek, Mazumder, Satyaki, Das, Koel

“…Experiencing food craving is nearly ubiquitous and has several negative pathological impacts prompting an increase in recent craving-related research. Food…”
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