Profile Picture
Saad Nadeem

Researh Fellow

Memorial Sloan Kettering Cancer Center

1275 York Ave, NY 10065

I am a Research Fellow at Memorial Sloan Kettering Cancer Center, working on tumor growth prediction, tumor motion management for high-precision radiation therapy, and cancer network analysis. I received my PhD in Computer Science from Stony Brook University. My broad research interests span visualization, medical imaging, data science, visual analytics, computer graphics, and computer vision. You can find my CV here.

Email: sanadeem [at] cs [dot] stonybrook [dot] edu

   
Updates
  • 09/17: Joined Memorial Sloan Kettering Cancer Center as a Research Fellow.
  • 08/17: Successfully defended PhD dissertation, titled "Mapping Analytics for Medical Imaging".
  • 06/17: Flame Reconstruction paper accepted in TVCG journal.
  • 05/17: Invited talk at Computational Radiology Laboratory, Boston’s Children’s Hospital and Harvard Medical School, MA, USA.
  • 05/17: Invited talk at Department of Medical Physics, Memorial Sloan Kettering Cancer Center, NY, USA.
  • 04/17: Invited talk at Brain Imaging Center, Icahn School Medicine at Mount Sinai, NY, USA.
  • 04/17: Invited talk at Center for Biomedical Image Computing and Analytics, University of Pennsylvania, PA, USA.
  • 04/17: Invited talk at Medical Image Computing and Analysis Laboratory, John Hopkins University School of Medicine MD, USA.
  • 10/16: Attended and presented the two accepted papers at IEEE VIS 2016, Baltimore, MD.
  • 06/16: Two papers got accepted in IEEE VIS'16 (SciVis and VAST).
  • 06/16: Invited TVCG talk at Graphics Interface Conference 2016, Victoria, BC.
  • 03/16: Attended and presented at SPIE Medical Imaging Conference in San Diego, CA.
  • 02/16: Spherical Parameterization paper accepted in TVCG journal.
  • 10/15: Five papers got accepted in SPIE'16.
  • Publications
    Saad Nadeem, Zhengyu Su, Wei Zeng, Arie Kaufman, and Xianfeng Gu. “Spherical Parameterization Balancing Angle and Area Distortions.” IEEE Transactions on Visualization and Computer Graphics, 23(6):1663–1676, 2017. [PDF] [Supplementary Material]

    Saad Nadeem, Joseph Marino, Xianfeng Gu, and Arie Kaufman. “Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling.” IEEE Transactions on Visualization and Computer Graphics (SciVis), 23(1): 751-760, 2017. [PDF] [Supplementary Material]

    Liang Shen, Saad Nadeem, Dengming Zhu, Zhaoqi Wang, and Arie Kaufman. “Radiative Transport Based Flame Volume Reconstruction from Videos.” IEEE Transactions on Visualization and Computer Graphics, PP(99): 1-13, 2017. [PDF]

    Ji Hwan Park, Seyedkoosha Mirhosseini, Saad Nadeem, Joseph Marino, Arie Kaufman, Kevin Baker, and Matthew Barish. “Crowdsourcing for Identification of Polyp-Free Segments in Virtual Colonoscopy Videos.” Proceedings of SPIE Medical Imaging, 2017. [PDF]

    Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, and Arie Kaufman. “C2A: Crowd Consensus Analytics for Virtual Colonoscopy.” Proceedings of IEEE Visualization (VAST), 2016. [PDF]

    Saad Nadeem and Arie Kaufman. “Multimodal Brain Visualization.” Proceedings of SPIE Medical Imaging, pp. 97881Y–97881Y, 2016. [PDF]

    Saad Nadeem and Arie Kaufman. “Computer-Aided Detection of Polyps in Optical Colonoscopy Images.” Proceedings of SPIE Medical Imaging, pp. 978525–978525, 2016. [PDF]

    Saad Nadeem and Arie Kaufman. “Visualization Framework for Colonoscopy Videos.” Proceedings of SPIE Medical Imaging, pp. 97861T–97861T, 2016. [PDF]

    Saad Nadeem and Arie Kaufman. “Shape-based Multifeature Brain Parcellation.” Proceedings of SPIE Medical Imaging, pp. 978430–978430, 2016. [PDF]

    Konstantin Dmitriev, Ievgeniia Gutenko, Saad Nadeem, and Arie Kaufman. “Pancreas and Cyst Segmentation.” Proceedings of SPIE Medical Imaging, pp. 97842C–97842C, 2016. [PDF]

    Saad Nadeem, Xianfeng Gu, and Arie Kaufman. “LMap: Shape-Preserving Local Mappings for Biomedical Visualization.” IEEE Transactions on Visualization and Computer Graphics, (Submitted 2017).

    Shreeraj Jadhav, Saad Nadeem, and Arie Kaufman. “FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels.” IEEE Transactions on Visualization and Computer Graphics, (Submitted 2017).

    Ming Ma, Joseph Marino, Saad Nadeem, Chengfeng Wen, Na Lei, Arie Kaufman, and Xianfeng Gu. “Supine to Prone Colon Registration and Visualization Based on Optimal Mass Transport.” IEEE Transactions on Visualization and Computer Graphics, (Submitted 2017).

    Ji Hwan Park, Saad Nadeem, Saeed Boor Boor, Joseph Marino, and Arie Kaufman. “CMed: Crowd Analytics for Medical Imaging Data.” IEEE Transactions on Multimedia, (Submitted 2017).

    Ji Hwan Park, Saad Nadeem, and Arie Kaufman. “GeoBrick: Exploration of Spatio-Temporal Data.” The Visual Computer, (Submitted 2017).

    Saad Nadeem, Xianfeng Gu, and Arie Kaufman. “Sulcal Pits Extraction Using Eigenfunction Analysis.” SPIE Medical Imaging, (Submitted 2017).

    Saad Nadeem, Rui Shi, Joseph Marino, Wei Zeng, Xianfeng Gu, and Arie Kaufman. “Volumetric Prostate Registration using Curvature Flow.” SPIE Medical Imaging, (Submitted 2017).

    Saeed Boor Boor, Saad Nadeem, Ji Hwan Park, Kevin Baker, and Arie Kaufman. “Crowdsourcing Lung Nodules Detection and Annotation.” SPIE Medical Imaging, (Submitted, 2017).

    Ji Hwan Park, Saad Nadeem, Joseph Marino, Kevin Baker, Matthew Barish, and Arie Kaufman. “Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos.” SPIE Medical Imaging, (Submitted 2017).

    Saad Nadeem, Rui Shi, Joseph Marino, Wei Zeng, Xianfeng Gu, and Arie Kaufman. “Registration of Volumetric Prostate Scans using Curvature Flow.” arXiv:1608.00921, 2016. [PDF]

    Zafar Ayyub Qazi, Saad Nadeem, and Zartash Afzal Uzmi. “MAC Rate Adaptation and Cross Layer Behavior for Vehicular WiFi Access: An Experimental Study.” arXiv:1610.03834, 2010. [PDF]