16 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Agency for Science, Technology and ResearchSG1 paper
- Alberta Children's HospitalCA1 paper
- Alberta Machine Intelligence InstituteCA1 paper
- Aligarh Muslim UniversityIN1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baylor College of MedicineUS1 paper
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Brigham and Women's HospitalUS1 paper
13 papers
On the construction of Cauchy MDS matrices over Galois rings via nilpotent elements and Frobenius maps
Shakir Ali, Atif Ahmad Khan, Abhishek Kesarwani
Let be the positive integers and be any prime number. Next, let be a Galois ring of characteristic and cardinality . In the present paper,…
Coherent States in Classical Field Theory
Abhijeet Joshi, Vivek M. Vyas, Prasanta K. Panigrahi
We illustrate the emergence of classical analogue of coherent state and its generalisation in a purely classical field theoretical setting. Our algebraic approach makes use of the…
Solving Nonlinear Absolute Value Equations
Aris Daniilidis, Mounir Haddou, Tri Minh Le +2
In this work, we show that several problems naturally represented as Nonlinear Absolute Value Equations (NAVE) can be reformulated as Nonlinear Complementarity Problems (NCP) and e…
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images
Swati Rai, Jignesh S. Bhatt, Sarat Kumar Patra
Medical image translation is an ill-posed problem. Unlike existing paired unbounded unidirectional translation networks, in this paper, we consider unpaired medical images and prov…
Generalised Geometric Phase
Vivek M. Vyas
A generalised notion of geometric phase for pure states is proposed and its physical manifestations are shown. An appreciation of fact that the interference phenomenon also manifes…
Response to the comment on "Do Bloch waves interfere with one another ?"
Vivek M. Vyas
Here a generalised argument showing the existence of the Bloch superselection rule is presented, in response to the recent comment by Sowinski. In light of the role played by the p…
Rank and rigidity of locally nilpotent derivations of affine fibrations
Janaki Raman Babu, Prosenjit Das, Swapnil A. Lokhande
In this exposition, we propose a notion of rank and rigidity of locally nilpotent derivations of affine fibrations. We show that the concept is analogous to the perception of rank…
First-principles predictions of tunable half metallicity in zigzag GaN nanoribbons with possible applications in CO detection and spintronics
Rachana Yogi, Kamal K. Jha, Alok Shukla +1
Based on systematic first-principles density-functional theory (DFT) simulations, we predict that the zigzag GaN nanoribbons (ZGaNNR) can be used both as highly efficient CO detect…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Do Bloch waves interfere with one another ?
Vivek M. Vyas
Here we show that two Bloch states, which are energy eigenstates of a quantum periodic potential problem, with different wavevectors can not be linearly superposed to display quant…
NP-Completeness Results for Graph Burning on Geometric Graphs
Arya Tanmay Gupta, Swapnil A. Lokhande, Kaushik Mondal
Graph burning runs on discrete time steps. The aim is to burn all the vertices in a given graph in the least number of time steps. This number is known to be the burning number of…
Context-Aware Zero-Shot Recognition
Ruotian Luo, Ning Zhang, Bohyung Han +1
We present a novel problem setting in zero-shot learning, zero-shot object recognition and detection in the context. Contrary to the traditional zero-shot learning methods, which s…
Minimum Risk Point Estimation of Gini Index
Shyamal Krishna De, Bhargab Chattopadhyay
This paper develops a theory and methodology for estimation of Gini index such that both cost of sampling and estimation error are minimum. Methods in which sample size is fixed in…