Hanung Adi Nugroho

Hanung Adi Nugroho
Universitas Gadjah Mada | UGM · Department of Information Technology and Electrical Engineering

PhD

About

283
Publications
59,000
Reads
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1,873
Citations
Citations since 2017
172 Research Items
1656 Citations
20172018201920202021202220230100200300
20172018201920202021202220230100200300
20172018201920202021202220230100200300
20172018201920202021202220230100200300
Additional affiliations
October 2012 - present
Universitas Gadjah Mada
January 2007 - December 2011
Education
January 2007 - June 2012
Universiti Teknologi PETRONAS
Field of study
  • Image Processing
January 2004 - July 2005
The University of Queensland
Field of study
  • Biomedical Engineering
August 1996 - October 2001
Universitas Gadjah Mada
Field of study
  • Control Engineering

Publications

Publications (283)
Article
Full-text available
The eye-fundus photograph is widely used for eye examinations. Accurate identification of retinal blood vessels could reveal information that is helpful for clinical diagnoses of many health disorders. Although several methods have been proposed to segment images of retinal blood vessels, the sensitivity of these methods is plausible to be improved...
Preprint
Full-text available
Indonesia holds the second-highest-ranking country for the highest number of malaria cases in Southeast Asia. A different malaria parasite semantic segmentation technique based on a deep learning approach is an alternative to reduce the limitations of traditional methods. However, the main problem of the semantic segmentation technique is raised si...
Conference Paper
Retinal imaging is widely used to detect diseases like diabetic retinopathy, glaucoma and other diseases. One important factor affecting the detection outcome is the quality of the retinal image. Therefore, retinal image quality assessment is necessary as a preliminary detection. A method for evaluating the quality of the retinal image without refe...
Article
When an epileptic seizure occurs, the neuron's activity of the brain is dynamically changed, which affects the connectivity between brain regions. The connectivity of each brain region can be quantified by electroencephalography (EEG) coherence, which measures the statistical correlation between electrodes spatially separated on the scalp. Previous...
Article
Full-text available
In recent year, marine ecosystems and fisheries becomes potential resources, therefore, monitoring of these objects will be important to ensure their existence. One of computer vision techniques, it is object detection, utilized to recognize and localize objects in underwater scenery. Many studies have been conducted to investigate various deep lea...
Conference Paper
Electroencephalography (EEG) is a technique for measuring electrical activity on the scalp. The EEG detects voltage fluctuations caused by ion currents in brain neurons. The brain-computer interface system (BCIs) is intended to enable humans to monitor machines and interact with computers through their brains. It intends to construct non-muscular p...
Article
The developmental methods for evaluating the complexity of univariate signals has attracted extensive attention. Therefore, entropy was discovered to be one of the best methods for evaluating the complexity of a biological signal. Recent studies on signal complexity using fractal dimension have been able to tackle the domination of entropy measurem...
Article
Full-text available
Tumors are cells that grow abnormally and uncontrollably, whereas brain tumors are abnormally growing cells growing in or near the brain. It is estimated that 23,890 adults (13,590 males and 10,300 females) in the United States and 3,540 children under the age of 15 would be diagnosed with a brain tumor. Meanwhile, there are over 250 cases in Indon...
Article
Full-text available
The biometric system is a security technology that uses information based on a living person's characteristics to verify or recognize the identity, such as facial recognition. Face recognition has numerous applications in the real world, such as access control and surveillance. But face recognition has a security issue of spoofing. A face anti-spoo...
Article
Full-text available
The heart is an important part of the human body, functioning to pump blood through the circulatory system. Heartbeats generate a signal called an ECG signal. ECG signals or electrocardiogram signals are basic raw signals to identify and classify heart function based on heart rate. Its main task is to analyze each signal in the heart, whether norma...
Article
Full-text available
Cardiovascular disease has been the number one illness to cause death in the world for years. As information technology develops, many researchers have conducted studies on a computer-assisted diagnosis for heart disease. Predicting heart disease using a computer-assisted system can reduce time and costs. Feature selection can be used to choose the...
Article
Full-text available
Plasmodium parasite is the main cause of malaria which has taken many lives. Some research works have been conducted to detect the Plasmodium parasite automatically. This research aims to identify the development of current research in the area of Plasmodium parasite detection. The research uses a systematic literature review (SLR) approach compris...
Article
Arrhythmia is a disease often encountered in patients with cardiac problems. The presence of arrhythmia can be detected by an electrocardiogram (ECG) test. Automatic observation based on machine learning has been developed for long time. Unfortunately, only few of them have capability of explaining the knowledge inside themselves. Thus, transparenc...
Conference Paper
Full-text available
Breast cancer is the number two killer among women in the world after cervical cancer. With the early detection of breast cancer the chances of survival for patients can be improved. In this study designed a method of image processing that can perform early detection of breast cancer. By extracting characteristic energy of the wavelet decomposition...
Article
Full-text available
Malaria is one of the dangerous diseases in the world. Despite it has been decreased every year, the number of patients for this disease is still reasonably a lot. Technical problems that arise in the malaria cases are due to malaria examination and diagnosis analysis, which are carried out manually. At the same time, there are still medical person...
Article
Full-text available
Face detection is one of the problems in computer vision with a large number of researches works. This research work aims to analyses the effect of performing various color spaces in face detection. 1100 images provided by SFA dataset was used in this study. The proposed method was initiated by pre-processing step. Then, segmentation step by using...
Book
This Conference proceeding presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2020 held at Surabaya, Indonesia. The contents are broadly divided into three parts: (i) Electronics, (ii) Biomedical Engineering, and (iii) Health Informatics. The major fo...
Article
Full-text available
Malaria is a disease caused by the plasmodium parasite and has caused many fatalities. In general, identifying malaria parasite infection can be done by visually observing thick and thin blood smears through microscopic devices. Identification of parasites in thick blood preparations has a higher level of difficulty than thin blood preparations. In...
Article
Purpose: Utilization of computer-aided diagnosis (CAD) on radiological ultrasound (US) imaging has increased tremendously. The prominent CAD applications are found in breast and thyroid cancer investigation. To make appropriate clinical recommendations, it is important to accurately segment the cancerous object called a lesion. Segmentation is a cr...
Article
Full-text available
The lip synchronization technology of animation can run automatically through the phoneme-to-viseme map. Since the complexity of facial muscles causes the shape of the mouth to vary greatly, phoneme-to-viseme mapping always has challenging problems. One of them is the allophone vowel problem. The resemblance makes many researchers clustering them i...
Preprint
Full-text available
Parkinson is a disease attacking the nervous system and worsens the work of nervous system over time. This disease is incurable, the therapy existing today is only able to help to relieve the symptoms. Hence, an early diagnose is deemed essential to determine an accurate type of therapy. Parkinson disease can be diagnosed by examining the symptoms...
Article
Full-text available
Computerized tomography (CT) is one of the major high-resolution imaging modalities. It is especially useful in the early detection of lung abnormalities. However, CT images are sometimes stored with names that do not always indicate the order of 3D images. Using “SliceLocation” and “InstanceNumber” in the CT header, CT image slices can be arranged...
Article
Full-text available
File scanned documents are commonly used in this digital era. Text and image extraction of scanned documents play an important role in acquiring information. A document may contain both texts and images. A combination of text-image classification has been previously investigated. The dataset used for those research works the text were digitally pro...
Article
Full-text available
Understanding the pattern of hand gesture on research which designs a prosthetic hand has been popular subject in recent years. The hand gesture recognition relies heavily on the sensors, with electromyograph (EMG) sensor electrode being used the most. Previous researches have been using various recognition methods with different number of electrod...
Article
Full-text available
This study evaluates the use of multiscale signal analysis to detect and predict seizures by finding the ictal and pre-ictal condition in electroencephalography (EEG) recordings. There are three processing stages in this study. The first is to decompose EEG signals by using empirical mode decomposition (EMD) and a coarse-grained (CG) procedure to o...
Article
Full-text available
Magnetic resonance imaging (MRI) is the imaging technique used to diagnosing brain tumor disease. Early diagnosis of brain tumors is an essential task in medical work to find out whether the tumor can potentially become cancerous. Deep learning is a handy and efficient method for image classification. Deep learning has been widely applied in variou...
Article
Full-text available
Ultrasound is widely utilized in radiological screening to achieve early cancer investigations. Alongside this utilization, the need of object detection and segmentation techniques highly increases as crucial procedure of computer aided diagnosis tool. In addition, the industrial revolution 4.0 also demands automation and digitization in every tech...
Conference Paper
One of the complications of diabetes is the disruption of vision because of the damage to the retinal blood vessels, which is known as diabetic retinopathy (DR). The change in diameter of the retinal blood vessel is an important sign of DR. Several segmentation models have been proposed for measuring the retinal blood vessel diameter, but the resul...
Conference Paper
Diabetes and its complications are major causes of death in most countries. One of the complications of diabetes is diabetic retinopathy, the disruption of vision because of the damage to the retinal blood vessels. Automatic screening of diabetic retinopathy is needed because of the increasing number of diabetic retinopathy patients and the limited...
Article
Signal complexity is one point of view to analyze the biological signal. It arises as a result of the physiological signal produced by biological systems. Signal complexity can be used as a method in extracting the feature for a biological signal to differentiate a pathological signal from a normal signal. In this research, Hjorth descriptors-one o...
Article
Full-text available
Saat ini teknologi animasi gerak bibir tengah berkembang secara signifikan seiring dengan perkembangan industri kreatif. Metode yang sering digunakan untuk membuat gerak bibir tersebut adalah peta fonem ke visem. Pembangunan peta fonem ke visem awalnya mengacu pada ketentuan baku susunan fonem yang sudah ada, namun kemudian susunan ini berkembang m...
Article
A biological signal has the multi-scale and signals complexity properties. Many studies have used the signal complexity calculation methods and multi-scale analysis to analyze the biological signal, such as lung sound. Signal complexity methods used in the biological signal analysis include entropy, fractal analysis, and Hjorth descriptor. Meanwhil...
Article
CT imaging is widely used for a variety of diagnostic and therapeutic purposes. It is a best effective and efficient tool in kidney stones diagnostic and treatment strategies whenever contactless measurements of quality are necessary to examine different types of stones. Accurate segmentation is a key process in CT diagnostic imaging. But, there ar...
Article
Full-text available
Wavelet Entropy (WE) is one of the entropy measurement methods by means of the discrete wavelet transform (DWT) subband. Some of the developments of WE are wavelet packet entropy (WPE), wavelet time entropy. WPE has several variations such as the Shannon entropy calculation on each subband of WPD that produces 2N entropy or WPE, which yields an ent...
Article
Full-text available
Observing presence of Plasmodium parasite of stained thick or thin blood films through microscopic examination is a gold standard for malaria diagnosis. Although the microscopic examination has been extensively used, misidentification might occur caused by human factors. In order to overcome misidentification problem, several studies have been cond...
Article
Full-text available
em>Plasmodium parasite is identified to confirm malaria disease. Paramedics need to observe the presence of this parasite prepared on thick and thin blood films under microscope. However, false identification still occurs which is caused by human factor during the examination. Thus, malaria identification based on digital image processing has been...
Article
Full-text available
One of the imaging modalities for early detection of breast cancer malignancy is ultrasonography (USG). The malignancy can be analysed from the characteristic of nodule shape. This study aims to develop a method for classifying the shape of breast nodule into two classes, namely regular and irregular classes. The input image is pre-processed by usi...