Hi!

I’m a Ph.D. candidate in computer science at Brown University, working with Stephen Bach. Recently, I’ve been focusing on harnessing structured knowledge for solving novel tasks with limited labeled data. I am also interested in commonsense reasoning and learning from multi-modal data. Prior to Brown, I did my undergraduate studies at Isfahan University of Technology, working with Shadrokh Samavi. Mainly, I was working on developing computationaly efficient deep learning models for medical image analysis.

Publications

See my Google Scholar for the full list.

Few-Shot Learning

• Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
  Reza Esfandiarpoor, Amy Pu, Mohsen Hajabdollahi, Stephen H. Bach
  Pre-Print. ArXiv 2020.
  [PDF] [Code]

Energy-Efficient DNNs

• Simplification of neural networks for skin lesion image segmentation using color channel pruning
  Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi, SM Reza Soroushmehr, Nader Karimi, Shadrokh Samavi
  Computerized Medical Imaging and Graphics. CMIG 2020.
  [PDF]

• Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
  Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti, Nader Karimi, SM Reza Soroushmehr, Shadrokh Samavi
  Biomedical Signal Processing and Control. BSPC 2020.
  [PDF]

• Hierarchical pruning for simplification of convolutional neural networks in diabetic retinopathy classification
  Mohsen Hajabdollahi, Reza Esfandiarpoor, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, SM Reza Soroushmehr
  41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. EMBC 2019.
  [PDF]

• Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices
  Mohsen Hajabdollahi, Reza Esfandiarpoor, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, SM Reza Soroushmeh
  25th IEEE International Conference on Image Processing. ICIP 2018.
  [PDF]