output
20052026
most citedApplication of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review

203 citations

Showing 2019Show all

12 papers · 1 filter

cs.CV2019★ 38 cited

3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection

Murari Mandal, Vansh Dhar, Abhishek Mishra +1

In this paper we propose an end-to-end swift 3D feature reductionist framework (3DFR) for scene independent change detection. The 3DFR framework consists of three feature streams:…

cs.DB2019★ 6 cited

HCA-DBSCAN: HyperCube Accelerated Density Based Spatial Clustering for Applications with Noise

Vinayak Mathur, Jinesh Mehta, Sanjay Singh

Density-based clustering has found numerous applications across various domains. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is capable of fi…

q-fin.ST2019

BitMEX Funding Correlation with Bitcoin Exchange Rate

Sai Srikar Nimmagadda, Pawan Sasanka Ammanamanchi

This paper examines the relationship between Inverse Perpetual Swap contracts, a Bitcoin derivative akin to futures and the margin funding interest rates levied on BitMEX. This pap…

quant-ph2019★ 52 cited

Temporal self-similarity of quantum dynamical maps as a concept of memorylessness

Shrikant Utagi, R. Srikanth, Subhashish Banerjee

The problem of defining quantum non-Markovianity has proven elusive, with various in-equivalent criteria put forth to address it. The concept of CP-indivisibility and the hierarchy…

eess.IV2019★ 35 cited

Liver Segmentation from Multimodal Images using HED-Mask R-CNN

Supriti Mulay, Deepika G, Jeevakala S +2

Precise segmentation of the liver is critical for computer-aided diagnosis such as pre-evaluation of the liver for living donor-based transplantation surgery. This task is challeng…

cs.CL2019★ 16 cited

BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks

Shreyas Sharma, Ron Daniel

Biomedical Named Entity Recognition (NER) is a challenging problem in biomedical information processing due to the widespread ambiguity of out of context terms and extensive lexica…