activity
20172019
most citedTomographic Reconstruction using Global Statistical Prior

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2019

Low radiation tomographic reconstruction with and without template information

Preeti Gopal, Sharat Chandran, Imants Svalbe +1

Low-dose tomography is highly preferred in medical procedures for its reduced radiation risk when compared to standard-dose Computed Tomography (CT). However, the lower the intensi…

eess.IV2019

Tomographic reconstruction to detect evolving structures

Preeti Gopal, Sharat Chandran, Imants Svalbe +1

The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, i…

cs.CY2019

Joint Seat Allocation 2018: An algorithmic perspective

Surender Baswana, Partha Pratim Chakrabarti, Yashodhan Kanoria +2

Until 2014, admissions to the Indian Institutes of Technology (IITs) were conducted under one umbrella, whereas the admissions to the non-IIT Centrally Funded Government Institutes…

cs.CV20181 cited

Learning from past scans: Tomographic reconstruction to detect new structures

Preeti Gopal, Sharat Chandran, Imants Svalbe +1

The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, p…

cs.CV20172 cited

Tomographic Reconstruction using Global Statistical Prior

Preeti Gopal, Ritwick Chaudhry, Sharat Chandran +2

Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements. One of the ways to compensate for the incr…