Handayani Tjandrasa

Handayani Tjandrasa

Institut Teknologi Sepuluh Nopember

H-index: 16

Asia-Indonesia

About Handayani Tjandrasa

Handayani Tjandrasa, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Institut Teknologi Sepuluh Nopember, specializes in the field of Image Processing, Computational Intelligence, Biomedical Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

R2U-Net3+: Recurrent Residual Convolutional Network U-Net3+ for Segmentation of Radio Frequency Interference (RFI) in Weather Radar Images.

Pemanfaatan Teknologi Informasi dalam Penyusunan Materi Pembelajaran Berbasis Multimedia Interaktif pada SDN Sutorejo I/240 Surabaya

Design an Intelligent Balanced Control of Quadruped Legs Based on Adaptive Neuro-Fuzzy Inference System (ANFIS).

Segmentation of COVID-19 Chest CT Images Based on SwishUnet

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Deep Learning Approach for Segmentation and Classification of COVID-19 in Lung CT Scan Images

Modification of IDTCS Method for Touching Leukemia Cell Grouping

Classification of air-cured tobacco leaf pests using pruning convolutional neural networks and transfer learning

Handayani Tjandrasa Information

University

Position

Department of Informatics

Citations(all)

859

Citations(since 2020)

620

Cited By

423

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

27

i10Index(since 2020)

19

Email

University Profile Page

Institut Teknologi Sepuluh Nopember

Google Scholar

View Google Scholar Profile

Handayani Tjandrasa Skills & Research Interests

Image Processing

Computational Intelligence

Biomedical Engineering

Top articles of Handayani Tjandrasa

Title

Journal

Author(s)

Publication Date

R2U-Net3+: Recurrent Residual Convolutional Network U-Net3+ for Segmentation of Radio Frequency Interference (RFI) in Weather Radar Images.

International Journal of Intelligent Engineering & Systems

Alfan Alfarisy

Handayani Tjandrasa

2024/3/1

Pemanfaatan Teknologi Informasi dalam Penyusunan Materi Pembelajaran Berbasis Multimedia Interaktif pada SDN Sutorejo I/240 Surabaya

Sewagati

Dini Adni Navastara

Nanik Suciati

Chastine Fatichah

Handayani Tjandrasa

2023/10/27

Design an Intelligent Balanced Control of Quadruped Legs Based on Adaptive Neuro-Fuzzy Inference System (ANFIS).

International Journal on Advanced Science, Engineering & Information Technology

Sigit Wasista

Handayani Tjandrasa

Supeno Djanali

2023/5/1

Segmentation of COVID-19 Chest CT Images Based on SwishUnet

International Journal of Intelligent Engineering and Systems

Akhmad Irsyad

Handayani Tjandrasa

Shintami Chusnul Hidayati

2023/3/23

Fully Automatic Segmentation Framework for FL Biometric Measurement in Foetal Ultrasound Images

Fajar Astuti Hermawati

Elsen Ronando

Dwi Harini Sulistyawati

Handayani Tjandrasa

Nanik Suciati

2023/12/14

Deep Learning Approach for Segmentation and Classification of COVID-19 in Lung CT Scan Images

Akhmad Irsyad

Handayani Tjandrasa

Shintami Chusnul Hidayati

2023/11/29

Modification of IDTCS Method for Touching Leukemia Cell Grouping

Journal Research of Social, Science, Economics, and Management

Nenden Siti Fatonah

Chastine Fatichah

Handayani Tjandrasa

2022/3/15

Classification of air-cured tobacco leaf pests using pruning convolutional neural networks and transfer learning

International Journal on Advanced Science, Engineering and Information Technology

Dwiretno Istiyadi Swasono

Handayani Tjandrasa

Chastine Fatichah

2022

Exudate Segmentation for Diabetic Retinopathy Using Modified FCN-8 and Dice Loss

International Journal of Intelligent Engineering & Systems

Dinial Utami Nurul Qomariah

Handayani Tjandrasa

Chastine Fatichah

2022/3/1

Phase-based thresholding schemes for segmentation of fetal thigh cross-sectional region in ultrasound images

Journal of King Saud University-Computer and Information Sciences

Fajar Astuti Hermawati

Handayani Tjandrasa

Nanik Suciati

2022/7/1

Pemanfaatan E-commerce dan Media Sosial Guna Meningkatkan Ekonomi dan Proses Bisnis UMKM Koppontren NURILA Bangkalan

Sewagati

Dini Adni Navastara

Nanik Suciati

Chastine Fatichah

Handayani Tjandrasa

Agus Zainal Arifin

...

2022/6/22

Segmentation of Microaneurysms for Early Detection of Diabetic Retinopathy Using MResUNet

International Journal of Intelligent Engineering & Systems

Dinial Utami Nurul Qomariah

Handayani Tjandrasa

Chastine Fatichah

2021/6

Applying Hindsight Experience Replay to Procedural Level Generation

Evan Kusuma Susanto

Handayani Tjandrasa

2021/4

IMPROVED DEEP LEARNING ARCHITECTURE WITH BATCH NORMALIZATION FOR EEG SIGNAL PROCESSING

JUTI

Adenuar Purnomo

Handayani Tjandrasa

2021/1

Detection of COVID-19 from Chest CT Images Using Deep Transfer Learning

Akhmad Irsyad

Handayani Tjandrasa

2021/10/20

Hemorrhage segmentation in retinal images using modified FCN-8

Dinial Utami Nurul Qomariah

Handayani Tjandrasa

Basuki Rachmatul Alam

2021/10/2

Non-proliferative diabetic retinopathy classification based on hard exudates using combination of frcnn, morphology, and anfis

Ricky Eka Putra

Handayani Tjandrasa

Nanik Suciati

Ardian Yusuf Wicaksono

2020/10/3

Severity Classification of Non-Proliferative Diabetic Retinopathy Using Convolutional Support Vector Machine

International Journal of Intelligent Engineering and Systems

Ricky Eka Putra

Handayani Tjandrasa

Nanik Suciati

2020/8

Identification of Acute Lymphoblastic Leukemia Subtypes in Touching Cells Based on Enhanced Edge Detection

Tanzilal Mustaqim

Chastine Fatichah

Nanik Suciati

2023/5/12

Deep Learning-based Method for Multi-Class Classification of Oil Palm Planted Area on Plant Ages Using Ikonos Panchromatic Imagery

Int. J. Adv. Sci. Eng. Inf. Technol

Soffiana Agustin

Handayani Tjandrasa

RV Hari Ginardi

2020/12

See List of Professors in Handayani Tjandrasa University(Institut Teknologi Sepuluh Nopember)