Navigation

  • Skip to Content
NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Anum Masood

Anum Masood

Postdoctoral Fellow
Department of Circulation and Medical Imaging
Faculty of Medicine and Health Sciences

anum.masood@ntnu.no
Realfagbygget, B4-135, Gløshaugen, Høgskoleringen 5
Google Scholar CIMORe Group
Publications Media

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2023

  • 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)
    Academic article
  • 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)
    Academic article
  • 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
    Academic literature 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
    Academic article

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
    Academic article
  • 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
    Academic article

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
    Academic article
  • 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)
    Academic chapter/article/Conference paper

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
    Academic article

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
    Academic article

Journal publications

  • 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)
    Academic article
  • 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)
    Academic article
  • 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
    Academic literature 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article

Part of book/report

  • 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)
    Academic chapter/article/Conference paper

Media

2023

  • Lecture
    Kjelsberg, 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
  • Poster
    Masood, 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

2022

  • Academic lecture
    Masood, 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
  • Poster
    Knapstad, 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
  • Academic lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Academic lecture
    Knapstad, 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
  • Poster
    Masood, 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
  • Poster
    Masood, 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
  • Poster
    Knapstad, 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
  • Lecture
    Masood, 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
  • Lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Popular scientific lecture
    Masood, Anum. (2022) AI for Cancer Detection and Diagnosis. WEmpower Organization STEM Lecture Series , Virtual 2022-12-29 - 2022-12-29
  • Poster
    Masood, Anum. (2022) Automated Lymphoma Cancer Detection. Centre for Digital Life Norway 6th Digital Life Norway Conference , Oslo 2022-06-13 - 2022-06-15
  • Popular scientific lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Poster
    Masood, 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
  • Lecture
    Masood, 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
  • Academic lecture
    Masood, 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
  • Poster
    Masood, 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
  • Academic lecture
    Masood, 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

  • Academic lecture
    Masood, Anum. (2021) Automated Detection and Classification of Lung Cancer using Deep Learning Models. NTNU 180N Spring Seminar , Virtual 2021-02-15 - 2021-02-15
  • Academic lecture
    Masood, Anum. (2021) Improved Cancer Diagnostic using Machine Learning in Clinical PET/MRI. NTNU 180N Autumn Webinar 2021 , Virtual 2021-10-01 - 2021-10-01
  • Academic lecture
    Masood, Anum. (2021) Introduction to Python Programming. Code First Girls AI & Machine Learning , Virtual 2021-03-23 - 2021-03-23

2015

  • Academic lecture
    Masood, 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
NTNU
Studies
  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process
Contact
  • Contact NTNU
  • Employees
  • For alumni
  • Press contacts
  • Researcher support
Discover NTNU
  • Experts
  • Vacancies
  • Pictures from NTNU
  • Innovation resources
  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund
  • Maps
About NTNU
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart
  • Libraries
  • About the university
Services
  • For employees
  • For students
  • Blackboard
  • Intranet

Norwegian University of Science and Technology

Use of cookies
Accessibility statement (in Norwegian)
Privacy policy
Editorial responsibility
Sign In