◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. K. Hasan

16 papers hereh-index 211.2k citations49 works total

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

author position
  • first author5
  • middle author1
  • last author9

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • eess.IV12
  • eess.SP2
  • cs.CV1
  • q-bio.QM1
same name
  • M. K. Hasan — 2 papers, h 3
  • M. K. Hasan — 2 papers, h 1
  • M. K. Hasan — 1 paper, h 4
  • M. K. Hasan — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedApplication of DenseNet in Camera Model Identification and Post-processing Detection

35 citations · 79 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

eess.IV2021

Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders

Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal +6

Automated skin lesion analysis for simultaneous detection and recognition is still challenging for inter-class homogeneity and intra-class heterogeneity, leading to low generic cap…

eess.IV2021

Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI

Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy +3

Accurate and robust whole heart substructure segmentation is crucial in developing clinical applications, such as computer-aided diagnosis and computer-aided surgery. However, segm…

eess.IV2021

COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing

Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan +3

The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity is imperative for disease diagnosis and prognosis as…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.