A Masood
Publikasjoner
2024
-
Zahra, Unber;
Khan, Muhammad Attique;
Alhaisoni, Majed;
Alasiry, Areej;
Marzougui, Mehrez;
Masood, Anum.
(2024)
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Hamza, Ameer;
Khan, Muhammad Attique;
Ur Rehman, Shams;
Al-Khalidi, Mohammed;
Alzahrani, Ahmed Ibrahim;
Alalwan, Nasser.
(2024)
A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Ullah, Muhammad Sami;
Khan, Muhammad Attique;
Masood, Anum;
Mzoughi, Olfa;
Saidani, Oumaima;
Alturki, Nazik.
(2024)
Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm.
Frontiers in Oncology
Vitenskapelig artikkel
-
Jabeen, Kiran;
Khan, Muhammad Attique;
Hameed, Mohamed Abdel;
Alqahtani, Omar;
Alouane, M. Turki-Hadj;
Masood, Anum.
(2024)
A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images.
Frontiers in Oncology
Vitenskapelig artikkel
-
Hasan, Mohammad Kamrul;
Habib, A.K.M. Ahasan;
Islam, Shayla;
Safie, Nurhizam;
Ghazal, Taher M.;
Khan, Muhammad Attique.
(2024)
Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework.
Alexandria Engineering Journal
Vitenskapelig artikkel
-
Awais, Muhammad;
Abdal, Md. Nazmul;
Akram, Tallha;
Alasiry, Areej;
Marzougui, Mehrez;
Masood, Anum.
(2024)
An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.
Frontiers in Oncology
Vitenskapelig artikkel
-
Haider, Irfan;
Khan, Muhammad Attique;
Nazir, Muhammad;
Hamza, Ameer;
Alqahtani, Omar;
Alouane, M. Turki-Hadj.
(2024)
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
2023
-
Bibi, Sobia;
Khan, Muhammad Attique;
Shah, Jamal Hussain;
Damaševičius, Robertas;
Alasiry, Areej;
Marzougui, Mehrez.
(2023)
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Hussain, Muneezah;
Khan, Muhammad Attique;
Damaševičius, Robertas;
Alasiry, Areej;
Marzougui, Mehrez;
Alhaisoni, Majed.
(2023)
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Srinivasan, Saravanan;
Gunasekaran, Subathra;
Mathivanan, Sandeep Kumar;
Jayagopal, Prabhu;
Khan, Muhammad Attique;
Alasiry, Areej.
(2023)
A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Hassan, Shahzad;
Rubab, Saddaf;
Saadat, Salman;
Gardezi, Syed Qasim Ali;
Khan, Muhammad Attique;
Alasiry, Areej.
(2023)
Real-Time Investigation of Cross-Technology Interference in Heterogeneous IoT Networks.
IEEE Access
Vitenskapelig artikkel
-
Rauf, Fatima;
Khan, Muhammad Attique;
Bashir, Ali Kashif;
Jabeen, Kiran;
Hamza, Ameer;
Alzahrani, Ahmed Ibrahim.
(2023)
Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes.
Frontiers in medicine
Vitenskapelig artikkel
-
Hamza, Ameer;
Khan, Muhammad Attique;
Ur Rehman, Shams;
Albarakati, Hussain Mobarak;
Alroobaea, Roobaea;
Baqasah, Abdullah M..
(2023)
An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Nawaz, Mehmood;
Uvaliyev, Adilet;
Bibi, Khadija;
Wei, Hao;
Abaxi, Sai Mu Dalike;
Masood, Anum.
(2023)
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.
Computerized Medical Imaging and Graphics
Vitenskapelig oversiktsartikkel/review
-
Lin, Shiqun;
Masood, Anum;
Li, Tingyao;
Huang, Gengyou;
Dai, Rongping.
(2023)
Deep learning-enabled automatic screening of SLE diseases and LR using OCT images.
The Visual Computer
Vitenskapelig artikkel
-
Rehman, Shams ur;
Khan, Muhamamd Attique;
Masood, Anum;
Almujally, Nouf Abdullah;
Baili, Jamel;
Alhaisoni, Majed.
(2023)
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images.
Diagnostics (Basel)
Vitenskapelig artikkel
2020
-
Masood, Anum;
Sheng, Bin;
Yang, Po;
Li, Ping;
Li, Huating;
Kim, Jinman.
(2020)
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN.
IEEE Transactions on Industrial Informatics
Vitenskapelig artikkel
-
Masood, Anum;
Ahmad, Saima Gulzar;
Khan, Hikmat Ullah;
Munir, Ehsan Ullah.
(2020)
Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environment.
Cluster Computing
Vitenskapelig artikkel
2019
-
Masood, Anum;
Yang, Po;
Sheng, Bin;
Li, Huating;
Li, Ping;
Qin, Jing.
(2019)
Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT.
IEEE Journal of Translational Engineering in Health and Medicine
Vitenskapelig artikkel
-
Masood, Anum;
Sheng, Bin;
Li, Ping;
Yang, Po;
Kim, Jinman.
(2019)
Automatic Computer-Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2018
-
Masood, Anum;
Sheng, Bin;
Li, Ping;
Hou, Xuhong;
Wei, Xiaoer;
Qin, Jing.
(2018)
Computer-assisted Decision Support System in Pulmonary Cancer Detection and Stage Classification on CT Images.
Journal of Biomedical Informatics
Vitenskapelig artikkel
2016
-
Saeed, Muhammad;
Ajmal, Wajya;
Masood, Anum;
Riaz, Muhammad Rizwan;
Akhtar, Malik Nadeem.
(2016)
Ubipredictor: A New Tool for Species-Specific Prediction of Ubiquitination Sites Using Linear Discriminant Analysis.
Current Bioinformatics
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Zahra, Unber;
Khan, Muhammad Attique;
Alhaisoni, Majed;
Alasiry, Areej;
Marzougui, Mehrez;
Masood, Anum.
(2024)
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Hamza, Ameer;
Khan, Muhammad Attique;
Ur Rehman, Shams;
Al-Khalidi, Mohammed;
Alzahrani, Ahmed Ibrahim;
Alalwan, Nasser.
(2024)
A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Ullah, Muhammad Sami;
Khan, Muhammad Attique;
Masood, Anum;
Mzoughi, Olfa;
Saidani, Oumaima;
Alturki, Nazik.
(2024)
Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm.
Frontiers in Oncology
Vitenskapelig artikkel
-
Jabeen, Kiran;
Khan, Muhammad Attique;
Hameed, Mohamed Abdel;
Alqahtani, Omar;
Alouane, M. Turki-Hadj;
Masood, Anum.
(2024)
A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images.
Frontiers in Oncology
Vitenskapelig artikkel
-
Hasan, Mohammad Kamrul;
Habib, A.K.M. Ahasan;
Islam, Shayla;
Safie, Nurhizam;
Ghazal, Taher M.;
Khan, Muhammad Attique.
(2024)
Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework.
Alexandria Engineering Journal
Vitenskapelig artikkel
-
Awais, Muhammad;
Abdal, Md. Nazmul;
Akram, Tallha;
Alasiry, Areej;
Marzougui, Mehrez;
Masood, Anum.
(2024)
An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.
Frontiers in Oncology
Vitenskapelig artikkel
-
Haider, Irfan;
Khan, Muhammad Attique;
Nazir, Muhammad;
Hamza, Ameer;
Alqahtani, Omar;
Alouane, M. Turki-Hadj.
(2024)
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Bibi, Sobia;
Khan, Muhammad Attique;
Shah, Jamal Hussain;
Damaševičius, Robertas;
Alasiry, Areej;
Marzougui, Mehrez.
(2023)
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Hussain, Muneezah;
Khan, Muhammad Attique;
Damaševičius, Robertas;
Alasiry, Areej;
Marzougui, Mehrez;
Alhaisoni, Majed.
(2023)
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Srinivasan, Saravanan;
Gunasekaran, Subathra;
Mathivanan, Sandeep Kumar;
Jayagopal, Prabhu;
Khan, Muhammad Attique;
Alasiry, Areej.
(2023)
A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Hassan, Shahzad;
Rubab, Saddaf;
Saadat, Salman;
Gardezi, Syed Qasim Ali;
Khan, Muhammad Attique;
Alasiry, Areej.
(2023)
Real-Time Investigation of Cross-Technology Interference in Heterogeneous IoT Networks.
IEEE Access
Vitenskapelig artikkel
-
Rauf, Fatima;
Khan, Muhammad Attique;
Bashir, Ali Kashif;
Jabeen, Kiran;
Hamza, Ameer;
Alzahrani, Ahmed Ibrahim.
(2023)
Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes.
Frontiers in medicine
Vitenskapelig artikkel
-
Hamza, Ameer;
Khan, Muhammad Attique;
Ur Rehman, Shams;
Albarakati, Hussain Mobarak;
Alroobaea, Roobaea;
Baqasah, Abdullah M..
(2023)
An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vitenskapelig artikkel
-
Nawaz, Mehmood;
Uvaliyev, Adilet;
Bibi, Khadija;
Wei, Hao;
Abaxi, Sai Mu Dalike;
Masood, Anum.
(2023)
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.
Computerized Medical Imaging and Graphics
Vitenskapelig oversiktsartikkel/review
-
Lin, Shiqun;
Masood, Anum;
Li, Tingyao;
Huang, Gengyou;
Dai, Rongping.
(2023)
Deep learning-enabled automatic screening of SLE diseases and LR using OCT images.
The Visual Computer
Vitenskapelig artikkel
-
Rehman, Shams ur;
Khan, Muhamamd Attique;
Masood, Anum;
Almujally, Nouf Abdullah;
Baili, Jamel;
Alhaisoni, Majed.
(2023)
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images.
Diagnostics (Basel)
Vitenskapelig artikkel
-
Masood, Anum;
Sheng, Bin;
Yang, Po;
Li, Ping;
Li, Huating;
Kim, Jinman.
(2020)
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN.
IEEE Transactions on Industrial Informatics
Vitenskapelig artikkel
-
Masood, Anum;
Ahmad, Saima Gulzar;
Khan, Hikmat Ullah;
Munir, Ehsan Ullah.
(2020)
Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environment.
Cluster Computing
Vitenskapelig artikkel
-
Masood, Anum;
Yang, Po;
Sheng, Bin;
Li, Huating;
Li, Ping;
Qin, Jing.
(2019)
Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT.
IEEE Journal of Translational Engineering in Health and Medicine
Vitenskapelig artikkel
-
Masood, Anum;
Sheng, Bin;
Li, Ping;
Hou, Xuhong;
Wei, Xiaoer;
Qin, Jing.
(2018)
Computer-assisted Decision Support System in Pulmonary Cancer Detection and Stage Classification on CT Images.
Journal of Biomedical Informatics
Vitenskapelig artikkel
-
Saeed, Muhammad;
Ajmal, Wajya;
Masood, Anum;
Riaz, Muhammad Rizwan;
Akhtar, Malik Nadeem.
(2016)
Ubipredictor: A New Tool for Species-Specific Prediction of Ubiquitination Sites Using Linear Discriminant Analysis.
Current Bioinformatics
Vitenskapelig artikkel
Del av bok/rapport
-
Masood, Anum;
Sheng, Bin;
Li, Ping;
Yang, Po;
Kim, Jinman.
(2019)
Automatic Computer-Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Formidling
2023
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Faglig foredragKjelsberg, Ronny; Talmo, Tord Mjøsund; Jennings, Kathleen Marie; Masood, Anum. (2023) Temporary Work in Academia: Toward a labor theory of pedagogy . NTNU/Dept. of Sociology and Political Science Open panel discussion: Temporary Work in Akademia , NTNU Dragvoll 2023-01-13 - 2023-01-13
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2023) Deep Learning Based Automated Multi-Organ Segmentation in Lymphoma Patients using FDG PET/MRI Images. University of Tromsø (UiT) - The Arctic University of Norway Northern Lights Deep Learning Conference 2023 , Tromsø 2023-01-10 - 2023-01-12
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PosterMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs. (2023) Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients Using Multi-Scale Swin Transformers. International Society for Magnetic Resonance in Medicine ISMRM 2023 , Toronto 2023-06-03 - 2023-06-08
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2023) Automated Multi-Organ Segmentation in Whole Body Multiparametric MRI Images of Lymphoma Patients Using Deep Learning Models. 180N 2nd 180N Conference , Bergen 2023-04-25 - 2023-04-27
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Populærvitenskapelig foredragMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs; Goa, Pål Erik. (2023) End-to-End Model for Metastatic Lesion Detection and Ann Arbor Staging of Lymphoma Cancer in Whole Body PET/MR Images. 180N 2nd 180N Conference , Bergen 2023-04-25 - 2023-04-27
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs; Goa, Pål Erik. (2023) Automated Segmentation of Metastatic Lymph Nodes in PET/MRI for Lymphoma Cancer Detection Using Multi-Scale Swin Vision Transformers. Digital Life Norway (DLN) 7th Digital Life Norway Conference , Bergen 2023-09-06 - 2023-09-08
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Populærvitenskapelig foredragMasood, Anum. (2023) Seminar on Smart Tech for Health: “AI for Cancer Detection and Diagnosis” . Pint of Science 2023 , Tromsø 2023-05-23 - 2023-05-23
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs; Goa, Pål Erik. (2023) Fully Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients Using Multi-Scale Swin Transformers. 180N 2nd 180N Conference , Bergen 2023-04-25 - 2023-04-27
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Vitenskapelig foredragMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik. (2023) Deep Learning Based Automated Multi-Organ Segmentation in Lymphoma Patients using Whole Body Multiparametric MRI Images. International Society for Magnetic Resonance in Medicine ISMRM 2023 , Toronto 2023-06-03 - 2023-06-08
2022
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Vitenskapelig foredragMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik. (2022) Multi-Organ Segmentation in Lymphoma Patients using FDG PET/MRI Images: A Deep-Learning Approach. Trond Mohn Foundation Annual Conference 180°N , Tromsø 2022-03-29 - 2022-03-31
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PosterKnapstad, Sølvi; Masood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs. (2022) Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients. NTNU Biophysics and Medical Physics Spring Symposium, NTNU , Trondheim 2022-05-12 - 2022-05-13
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Vitenskapelig foredragMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik. (2022) Automated Multi-Organ Segmentation using Lymphoma PET/MR Images. NTNU 180°N Seminar , Trondheim 2022-03-04 - 2022-03-04
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Vitenskapelig foredragMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2022) Automated Detection of Lymphoma Cancer using FDG PET/MRI Images: A Deep-Learning Approach. PRESIMAL PRESIMAL x NORA Artificial Intelligence Methods in Medical Imaging 2022 , Bergen 2022-09-14 - 2022-09-16
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Vitenskapelig foredragMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik. (2022) Automated Multi-Organ Segmentation for Lymph Nodes Detection in Lymphoma Patients using FDG PET/MRI Images: Deep-Learning Approach. NTNU Biophysics and Medical Physics Spring Symposium, NTNU , Trondheim 2022-05-12 - 2022-05-13
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Vitenskapelig foredragMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2022) Automated Detection and Stage Classification of Lymphoma Cancer Using Deep Learning. École de Technologie Supérieure (ETS) ETS Summer School on Deep Learning 2022-07-04 - 2022-07-08
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Vitenskapelig foredragKnapstad, Sølvi; Masood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs. (2022) Deep Learning-Based Automated Segmentation of Metastatic Lymph Nodes with PET/MR in Lymphoma Patients. NTNU 180°N Seminar , Trondheim 2022-03-04 - 2022-03-04
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PosterMasood, Anum; Knapstad, Sølvi; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik. (2022) Multi-Organ Segmentation in Lymphoma Patients using Deep-Learning Approach. Trond Mohn Foundation Annual Conference 180°N , Tromsø 2022-03-29 - 2022-03-31
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2022) Automated Lymphoma Cancer Detection and Ann-Arbor Staging Using Deep Learning with 18F-FDG PET/MR Images. Digital Life Norway Digital Life 2022 Conference , Trondheim 2022-10-20 - 2022-10-21
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PosterKnapstad, Sølvi; Masood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Elschot, Mattijs. (2022) Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients Using Deep Learnin. Trond Mohn Foundation Annual Conference 180°N , Tromsø 2022-03-29 - 2022-03-31
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Faglig foredragMasood, Anum; Somani, Ayush; Khan, Haroon; Chauhan, Pavitra. (2022) Challenge of RRI Implementation - A Boardgame to Bridge the Gap between Intentions and Outcomes. AFINO and DLN AFINO and DLN Summer Research School 2022 , Oslo 2022-09-07 - 2022-09-09
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Faglig foredragMasood, Anum; Elschot, Mattijs; Goa, Pål Erik. (2022) Deep Learning Method for Automated Segmentation of Lymphoma Cancer. Western Norway University of Applied Sciences HVL-DLN-MMIV Machine Learning , Bergen 2022-05-02 - 2022-05-04
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Vitenskapelig foredragMasood, Anum. (2022) AI-Based Healthcare for All. School of Health Innovation, Karolinska Institutet Health Innovation and Entrepreneurship 2022 , Stockholm 2022-05-09 - 2022-05-11
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Vitenskapelig foredragMasood, Anum. (2022) An Introduction to Deep Learning for Medical Imaging. UA-RUHR Biomedical Image Analysis Graduate Seminar-BIGS , Virtual 2022-03-21 - 2022-03-21
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Populærvitenskapelig foredragMasood, Anum. (2022) AI for Cancer Detection and Diagnosis. WEmpower Organization STEM Lecture Series , Virtual 2022-12-29 - 2022-12-29
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PosterMasood, Anum. (2022) Automated Lymphoma Cancer Detection. Centre for Digital Life Norway 6th Digital Life Norway Conference , Oslo 2022-06-13 - 2022-06-15
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Populærvitenskapelig foredragMasood, Anum. (2022) Hvordan kan AI hjelpe leger med diagnostikk og behandling?. NTNU RN-2022. Researchers Night; Ungdommens forskernatt , Trondheim 2022-09-30 - 2022-09-30
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Vitenskapelig foredragMasood, Anum. (2022) Federated Learning for Optimal Multi-centric Data Training. Mohn Medical Imaging and Visualization Centre: MMIV Artificial Intelligence in Computational Biotechnology and Medicine , Bergen 2022-05-04 - 2022-05-06
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PosterMasood, Anum. (2022) Computer-Aided Detection and Diagnosis of Lymphoma Cancer Using Multiparametric MRI. NTNU IFY PhD & Postdoc Seminar , Oppdal 2022-09-12 - 2022-09-13
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Faglig foredragMasood, Anum. (2022) Challenges Faced by Ph.D. Candidates and Temporary Scientific Employees. NTNU Seminar for Ph.D. Candidates in Social Sciences , Trondheim 2022-11-10 - 2022-11-10
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Vitenskapelig foredragMasood, Anum. (2022) Promoting Gender Balance in Computing Education. Excited SFU NTNU EXCITED Seminar on Research in IT Education , Trondheim 2022-05-30 - 2022-06-03
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PosterMasood, Anum; Johansen, Håkon; Husby, Trine; Eikenes, Live; Goa, Pål Erik; Elschot, Mattijs. (2022) Automated Detection and Stage Classification of Lymphoma Cancer using PET/MR Images. Mohn Medical Imaging and Visualization Centre: MMIV MMIV Conference 2022 , Bergen 2022-12-08 - 2022-12-09
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Vitenskapelig foredragMasood, Anum; Elschot, Mattijs; Goa, Pål Erik. (2022) aiLymph - Automated Detection of Lymphoma Cancer using AI. University of Copenhagen Entrepreneurship in Healthcare 2022 , Copenhagen 2022-12-01 - 2022-12-02
2021
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Vitenskapelig foredragMasood, Anum. (2021) Automated Detection and Classification of Lung Cancer using Deep Learning Models. NTNU 180N Spring Seminar , Virtual 2021-02-15 - 2021-02-15
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Vitenskapelig foredragMasood, Anum. (2021) Improved Cancer Diagnostic using Machine Learning in Clinical PET/MRI. NTNU 180N Autumn Webinar 2021 , Virtual 2021-10-01 - 2021-10-01
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Vitenskapelig foredragMasood, Anum. (2021) Introduction to Python Programming. Code First Girls AI & Machine Learning , Virtual 2021-03-23 - 2021-03-23
2015
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Vitenskapelig foredragMasood, Anum; Munir, Ehsan Ullah; Rafique, Muhammad Mustafa; Khan, Samee Ullah. (2015) HETS: Heterogeneous Edge and Task Scheduling Algorithm for Heterogeneous Computing Systems. IEEE 2015 IEEE 17th International Conference on High Performance Computing and Communications , New York, NY, 2015-08-24 - 2015-08-26