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ORCIDMarcin Grzegorzek
Person information
- affiliation: University of Lübeck, Germany
- affiliation (former): University of Siegen, Germany
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2020 – today
- 2024
[j87]Haoyuan Chen
, Xiaoqi Li, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. Artif. Intell. Rev. 57(3): 71 (2024)- [j86]Dechao Tang, Chen Li, Tianming Du, Huiyan Jiang, Deguo Ma, Zhiyu Ma, Marcin Grzegorzek, Tao Jiang, Hongzan Sun:
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. Comput. Biol. Medicine 171: 108217 (2024) - [j85]Deguo Ma, Chen Li, Tianming Du, Lin Qiao, Dechao Tang, Zhiyu Ma, Liyu Shi, Guotao Lu, Qingtao Meng, Zhihao Chen, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. Comput. Biol. Medicine 173: 108342 (2024) - [j84]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. Comput. Biol. Medicine 177: 108628 (2024) - [j83]Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang, Marcin Grzegorzek:
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks. Int. J. Comput. Vis. 132(4): 1219-1241 (2024) - [j82]Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Yudong Yao, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification. Neural Comput. Appl. 36(7): 3317-3346 (2024) - [j81]Rimsha Fatima, Muhammad Hassan Khan, Muhammad Adeel Nisar, Rafal Doniec, Muhammad Shahid Farid, Marcin Grzegorzek:
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data. Sensors 24(1): 75 (2024) - 2023
- [j80]Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama:
Embedding-Based Music Emotion Recognition Using Composite Loss. IEEE Access 11: 36579-36604 (2023) - [j79]Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek:
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer. Artif. Intell. Rev. 56(2): 1013-1070 (2023) - [j78]Pingli Ma, Chen Li, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches. Artif. Intell. Rev. 56(2): 1627-1698 (2023) - [j77]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomed. Signal Process. Control. 79(Part): 104168 (2023) - [j76]Weiming Hu, Xintong Li, Chen Li, Rui Li, Tao Jiang, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Xiaoyan Li:
A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Comput. Biol. Medicine 161: 107034 (2023) - [j75]Zizhen Fan, Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yuchao Zheng, Jing Chen, Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li:
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Comput. Biol. Medicine 162: 107070 (2023) - [j74]Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li:
A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Comput. Biol. Medicine 165: 107388 (2023) - [j73]Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, Xinyu Huang, Martje Buss, Leonie Kloep, Corinna Peifer, Barbara Kozusznik, Anita Pollak, Adrian Pyszka, Olaf Flak, Marcin Grzegorzek:
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. Comput. Biol. Medicine 166: 107489 (2023) - [j72]Xinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, Artur Piet, Muhammad Adeel Nisar, Christian Sina, Marcin Grzegorzek:
Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. Comput. Biol. Medicine 166: 107501 (2023) - [j71]Qianqing Nie, Chen Li, Jinzhu Yang, Yudong Yao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Ao Chen, Haoyuan Chen, Weiming Hu, Rui Li, Jiawei Zhang, Danning Wang:
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [j70]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
A comprehensive study on codebook-based feature fusion for gait recognition. Inf. Fusion 92: 216-230 (2023) - [j69]Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek:
Using Barometer for Floor Assignation within Statistical Indoor Localization. Sensors 23(1): 80 (2023) - [j68]Philip Gouverneur, Frédéric Li, Kimiaki Shirahama, Luisa Luebke, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek:
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. Sensors 23(4): 1959 (2023) - [j67]Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet, Marcin Grzegorzek:
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. Sensors 23(7): 3446 (2023) - [j66]Rafal Doniec, Justyna Konior, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md. Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek:
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. Sensors 23(12): 5551 (2023) - [j65]Luisa Luebke, Philip Gouverneur, Tibor M. Szikszay, Waclaw M. Adamczyk, Kerstin Luedtke, Marcin Grzegorzek:
Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study. Sensors 23(19): 8231 (2023) - [j64]Muhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, Xinyu Huang, Marcin Grzegorzek:
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. Sensors 23(19): 8234 (2023) - [j63]Cong Yang, Zhenyu Yang, Yan Ke, Tao Chen, Marcin Grzegorzek, John See:
Doing More With Moiré Pattern Detection in Digital Photos. IEEE Trans. Image Process. 32: 694-708 (2023) - [c112]Shuyao You, Mingshi Li, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection. ADMA (5) 2023: 510-519 - [c111]Mingshi Li, Shuyao You, Wanli Liu, Hongzan Sun, Yuexi Wang, Marcin Grzegorzek, Chen Li:
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect. ADMA (5) 2023: 623-633 - [c110]Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. IEEE Big Data 2023: 4392-4396 - [c109]Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. IEEE Big Data 2023: 4397-4405 - [c108]Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li:
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. IEEE Big Data 2023: 4424-4431 - [c107]Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. IEEE Big Data 2023: 4466-4474 - [c106]Szymon Siecinski, Muhammad Tausif Irshad, Md. Abid Hasan, Ewaryst J. Tkacz, Pawel S. Kostka, Marcin Grzegorzek:
Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population. EMBC 2023: 1-4 - [c105]Szymon Siecinski, Ewaryst J. Tkacz, Marcin Grzegorzek:
Publicly available signal databases containing seismocardiographic signals - the state in early 2023. EMBC 2023: 1-4 - [c104]Md. Abid Hasan, Nirjhor Tahmidur Rouf, Md Sajid Hossain, Lamia Binta Latif, Anika Tasnim, Marcin Grzegorzek:
A Location-Independent Flood Prediction Model for Bangladesh's Rivers. ICTAI 2023: 143-148 - [c103]Steffen Kastner, Markus Ebner, Markus Bullmann, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
SIMUL: Synchronized IMU Dataset of Walking People at Six Body Locations. IPIN 2023: 1-7 - [c102]Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang:
TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. ISBI 2023: 1-5 - [c101]Robert Schumann, Frédéric Li, Marcin Grzegorzek:
WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. iWOAR 2023: 3:1-3:8 - [c100]Szymon Siecinski, Muhammad Tausif Irshad, Md. Abid Hasan, Ewaryst Tkacz, Marcin Grzegorzek:
Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction. iWOAR 2023: 15:1-15:5 - [c99]Gabriela Ciortuz, Marcin Grzegorzek, Sebastian J. F. Fudickar:
Effects of Time-Series Data Pre-processing on the Transformer-based Classification of Activities from Smart Glasses. iWOAR 2023: 18:1-18:4 - [c98]Md. Abid Hasan, Frédéric Li, Artur Piet, Philip Gouverneur, Muhammad Tausif Irshad, Marcin Grzegorzek:
Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. iWOAR 2023: 20:1-20:7 - [c97]Lennart Jablonski, Torge Jensen, Greta M. Ahlemann, Xinyu Huang, Vivian V. Tetzlaff-Lelleck, Artur Piet, Franziska Schmelter, Valerie S. Dinkler, Christian Sina, Marcin Grzegorzek:
Sensor-Based Detection of Food Hypersensitivity Using Machine Learning. iWOAR 2023: 23:1-23:8 - [e3]Denys J. C. Matthies, Marcin Grzegorzek, Arjan Kuijper, Heike Leutheuser:
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2023, Lübeck, Germany, September 21-22, 2023. ACM 2023 [contents] - [i33]Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR abs/2301.06002 (2023) - [i32]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation. CoRR abs/2308.08172 (2023) - [i31]Dechao Tang, Xuanyi Li, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li:
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. CoRR abs/2308.08313 (2023) - [i30]Deguo Ma, Chen Li, Lin Qiao, Tianming Du, Dechao Tang, Zhiyu Ma, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage. CoRR abs/2308.10521 (2023) - [i29]Cong Yang, Bipin Indurkhya, John See, Bo Gao, Yan Ke, Zeyd Boukhers, Zhenyu Yang, Marcin Grzegorzek:
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks. CoRR abs/2310.06437 (2023) - 2022
- [j62]Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches. Artif. Intell. Rev. 55(4): 2875-2944 (2022) - [j61]Xintong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches. Artif. Intell. Rev. 55(6): 4809-4878 (2022) - [j60]Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. Comput. Biol. Medicine 141: 105026 (2022) - [j59]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Hongzan Sun, Marcin Grzegorzek:
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Comput. Biol. Medicine 142: 105207 (2022) - [j58]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Comput. Biol. Medicine 143: 105265 (2022) - [j57]Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, Yudong Yao, Xinyu Huang, Marcin Grzegorzek:
TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos. Comput. Biol. Medicine 146: 105543 (2022) - [j56]Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek:
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j55]Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. Pattern Recognit. 130: 108829 (2022) - [j54]Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafal Doniec, Marcin Grzegorzek, Roland Wismüller:
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. Sensors 22(10): 3634 (2022) - [j53]Raoul Hoffmann, Hanna Brodowski, Axel Steinhage, Marcin Grzegorzek:
Correction: Hoffmann et al. Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 2021, 21, 1086. Sensors 22(13): 4896 (2022) - [j52]Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Jana Hartz, Olaf Flak, Frédéric Li, Philip Gouverneur, Artur Piet, Kerstin M. Oltmanns, Marcin Grzegorzek:
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. Sensors 22(20): 7711 (2022) - [c96]Steffen Kastner, Markus Ebner, Markus Bullmann, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek:
Magnetic Signature Sensor Model for Accurate Short-Distance Localization. IEEE SENSORS 2022: 1-4 - [c95]Markus Bullmann, Toni Fetzer, Markus Ebner, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek:
Data Driven Sensor Model for Wi-Fi Fine Timing Measurement. IPIN 2022: 1-8 - [c94]Markus Ebner, Toni Fetzer, Markus Bullmann, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek:
PIPF: Proposal-Interpolating Particle Filter. IPIN 2022: 1-8 - [c93]Laura Liebenow, Jasmin Walter, Raoul Hoffmann, Axel Steinhage, Marcin Grzegorzek:
Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data - A Single Case Study. ITIB 2022: 3-14 - [c92]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Marcin Grzegorzek:
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. ITIB 2022: 285-294 - [c91]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Haiqing Zhang, Yixin Li, Hongzan Sun, Marcin Grzegorzek:
Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. ITIB 2022: 295-306 - [c90]Jiawei Zhang, Chen Li, Hongzan Sun, Marcin Grzegorzek:
PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images. ITIB 2022: 307-318 - [c89]Gabriela Augustinov, Muhammad Adeel Nisar, Frédéric Li, Seyed Amir Hossein Tabatabaei, Marcin Grzegorzek, Keywan Sohrabi, Sebastian J. F. Fudickar:
Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. iWOAR 2022: 9:1-9:8 - [c88]Yulu Zhang, Liang Sang, Marcin Grzegorzek, John See, Cong Yang:
BlumNet: Graph Component Detection for Object Skeleton Extraction. ACM Multimedia 2022: 5527-5536 - [i28]Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek:
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review. CoRR abs/2201.08550 (2022) - [i27]Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek:
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. CoRR abs/2202.06465 (2022) - [i26]Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek:
A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. CoRR abs/2202.07820 (2022) - [i25]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek:
EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. CoRR abs/2202.08552 (2022) - [i24]Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek:
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. CoRR abs/2202.09020 (2022) - [i23]Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin, Jinghua Zhang, Tao Jiang, Wenjun Qin, Marcin Grzegorzek:
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. CoRR abs/2204.01341 (2022) - [i22]Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, Yudong Yao, Xinyu Huang, Marcin Grzegorzek:
TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos. CoRR abs/2204.08166 (2022) - [i21]Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. CoRR abs/2204.08311 (2022) - [i20]Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. CoRR abs/2205.08467 (2022) - [i19]Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li:
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. CoRR abs/2205.12843 (2022) - [i18]Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron. CoRR abs/2206.00971 (2022) - [i17]Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek:
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. CoRR abs/2206.03368 (2022) - [i16]Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. CoRR abs/2208.14957 (2022) - [i15]Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - 2021
- [j51]Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
Vision-based approaches towards person identification using gait. Comput. Sci. Rev. 42: 100432 (2021) - [j50]Areeba Ilyas, Muhammad Shahid Farid, Muhammad Hassan Khan, Marcin Grzegorzek:
Exploiting Superpixels for Multi-Focus Image Fusion. Entropy 23(2): 247 (2021) - [j49]Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li, Hong Li:
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognit. 115: 107885 (2021) - [j48]Raoul Hoffmann, Hanna Brodowski, Axel Steinhage, Marcin Grzegorzek:
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 21(4): 1086 (2021) - [j47]Fatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, Muhammad Shahid Farid, Marcin Grzegorzek:
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data. Sensors 21(7): 2368 (2021) - [j46]Philip Gouverneur, Frédéric Li, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek:
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition. Sensors 21(14): 4838 (2021) - [j45]Cong Yang, Bipin Indurkhya, John See, Marcin Grzegorzek:
Towards Automatic Skeleton Extraction With Skeleton Grafting. IEEE Trans. Vis. Comput. Graph. 27(12): 4520-4532 (2021) - [i14]Chen Li, Xintong Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. CoRR abs/2102.10553 (2021) - [i13]Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek:
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. CoRR abs/2102.12147 (2021) - [i12]Chen Li, Xintong Li, Xiaoyan Li, Md Mamunur Rahaman, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. CoRR abs/2104.06243 (2021) - [i11]Haoyuan Chen, Chen Li, Xiaoyan Li, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek:
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. CoRR abs/2104.14528 (2021) - [i10]Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers. CoRR abs/2105.03148 (2021) - [i9]Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2105.07402 (2021) - [i8]Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek:
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer. CoRR abs/2106.01927 (2021) - [i7]Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek:
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. CoRR abs/2106.02473 (2021) - [i6]Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek:
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2106.11582 (2021) - [i5]Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek:
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. CoRR abs/2107.07699 (2021) - [i4]Jinghua Zhang, Chen Li, Marcin Grzegorzek:
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. CoRR abs/2108.00358 (2021) - [i3]