Deep learning applied to data augmentation and segmentation tasks in medical image analysis with a primary focus on skin lesion images.
Deep learning for medical image reconstruction with a primary focus on diffuse optical tomography.
Interaction analysis in 2/3D super-resolution microscopy to discover new biological functions driving infectious and degenerative diseases, with a focus on belief theory in the context of weakly supervised object detection.
Weakly supervised object localization and counting, with a focus on agricultural applications.
Deep learning applied to fluorescence microscopy to help explain and quantify morphological changes to cellular domains, with a focus on discovering drug- and virus-induced biomarkers.
External Visitors, Volunteers, and Interns
Alumni - Postdoctoral fellows
Alumni - PhD students
Alumni - MSc students
Alumni - External Visitors and Volunteers
Shubam Sachdeva (graduate RA)
Saurabh Garg (graduate RA)
Sajjad Shamanian (undergrad)
Priyanka Chandrashekar (graduate intern)
Zhuo Cen (graduate intern)
Yilin Shi (graduate intern)
Vishal Batvia (graduate intern)
Rohit Somasundaram (graduate intern)
Janaki Sathish (graduate intern)
Shahab Aslani (visiting graduate)
Parsa Oftadeh (undergrad)
Zhou Fang (visiting graduate)
Jiayi Yang (MITACS Globalink)
Arkadeep Das (MITACS Globalink)
Stephane Aroca-Ouellette (undergrad)
Fan Gao (undergrad)
Hexiang Hu (undergrad)
Samuel Chaves (MITACS Globalink)
Xiaojuan (Kathleen) Wang (MITACS Globalink)
Raissa Souza (MITACS Globalink)
Calvin Lefebvre (MSc internship)
Preet Jassi (undergrad)
Peyman Rahmati (MSc)
Fil Maj (undergrad)
Miranda Poon (MSc)
Marc Koppert (visiting graduate)
Nariman Hatami (extenral MSc student)
Judith Hradsky (visiting graduate)
Vincent Chu (undergrad)
Peter Plett (undergrad)
Samuel Liu (undergrad)
Janis Tong (undergrad)
Johnson Yang (undergrad)
Speech synthesis from silent videos.