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M. Raval

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedVisual Appearance Based Person Retrieval in Unconstrained Environment Videos

14 citations · 14 across the 1 of their papers we have counts for

collaborators

4 papers

eess.IV2020

A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction

Snehal Rajput, Mehul S Raval

Brain tumor segmentation intends to delineate tumor tissues from healthy brain tissues. The tumor tissues include necrosis, peritumoral edema, and active tumor. In contrast, health…

cs.CV2019★ 14 cited

Visual Appearance Based Person Retrieval in Unconstrained Environment Videos

Hiren Galiyawala, Mehul S Raval, Shivansh Dave

Visual appearance-based person retrieval is a challenging problem in surveillance. It uses attributes like height, cloth color, cloth type and gender to describe a human. Such attr…

eess.IV2019

Brain Tumor Segmentation and Survival Prediction

Rupal Agravat, Mehul S Raval

The paper demonstrates the use of the fully convolutional neural network for glioma segmentation on the BraTS 2019 dataset. Three-layers deep encoder-decoder architecture is used a…

cs.LG2019

Prediction of Overall Survival of Brain Tumor Patients

Rupal Agravat, Mehul S Raval

Automated brain tumor segmentation plays an important role in the diagnosis and prognosis of the patient. In addition, features from the tumorous brain help in predicting patients…

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