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Dr. -Ing. Abin Jose
Dr. -Ing. Abin Jose
Research Assistant RWTH Aachen University
Bestätigte E-Mail-Adresse bei lfb.rwth-aachen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Advances in medical image analysis with vision transformers: A comprehensive review
R Azad, A Kazerouni, M Heidari, EK Aghdam, A Molaei, Y Jia, A Jose, ...
arXiv preprint arXiv:2301.03505, 2023
332023
Pyramid pooling of convolutional feature maps for image retrieval
A Jose, RD Lopez, I Heisterklaus, M Wien
2018 25th IEEE International Conference on Image Processing (ICIP), 480-484, 2018
172018
Bilateral edge detectors
A Jose, CS Seelamantula
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
162013
Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color
A Jose, D Haak, S Jonas, V Brandenburg, TM Deserno
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 864-871, 2015
122015
Deep hashing with hash center update for efficient image retrieval
A Jose, D Filbert, C Rohlfing, JR Ohm
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
112022
Binary hashing using siamese neural networks
A Jose, S Yan, I Heisterklaus
2017 IEEE International Conference on Image Processing (ICIP), 2916-2920, 2017
112017
Towards quantitative assessment of calciphylaxis
TM Deserno, I Sárándi, A Jose, D Haak, S Jonas, P Specht, ...
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 861-868, 2014
112014
Ridge detection using savitzky-golay filtering and steerable second-order gaussian derivatives
A Jose, SR Krishnan, CS Seelamantula
2013 IEEE International Conference on Image Processing, 3059-3063, 2013
72013
Optimized feature space learning for generating efficient binary codes for image retrieval
A Jose, ES Ottlik, C Rohlfing, JR Ohm
Signal Processing: Image Communication 100, 116529, 2022
52022
Bag of fisher vectors representation of images by saliency-based spatial partitioning
A Jose, I Heisterklaus
2017 IEEE international conference on acoustics, speech and signal …, 2017
52017
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image data sets
D Eschweiler, R Yilmaz, M Baumann, I Laube, R Roy, A Jose, D Brückner, ...
arXiv preprint arXiv:2301.10227, 2023
42023
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
A Jose, R Roy, D Eschweiler, I Laube, R Azad, D Moreno-Andrés, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Automatic Detection of Cell-cycle Stages using Recurrent Neural Networks
A Jose, R Roy, D Moreno-Andrés, J Stegmaier
bioRxiv, 2023.02. 28.530432, 2023
12023
Optimized binary hashing codes generated by siamese neural networks for image retrieval
A Jose, T Horstmann, JR Ohm
2018 26th European Signal Processing Conference (EUSIPCO), 1487-1491, 2018
12018
Towards standardized wound imaging: self-calibrating consumer hardware based on lattice detection on color reference cards
A Jose, D Haak, SM Jonas, V Brandenburg, TM Deserno
Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015
12015
DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION, SUBTYPING, AND GRADING
MA Aziz, F Javadian, S Susheel, A Gopal, J Stegmaier, A Jose
bioRxiv, 2024.02. 12.577550, 2024
2024
Identification of Mitosis Stages Using Artificial Neural Networks for 3D Time Lapse Cell Sequences
T Dincer, J Stegmaier, A Jose
bioRxiv, 2024.02. 12.579090, 2024
2024
CELL CYCLE STATE PREDICTION USING GRAPH NEURAL NETWORKS
S Acharya, A Ganguly, R Sarkar, A Jose
bioRxiv, 2024.01. 30.577893, 2024
2024
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
R Van Kempen, T Rehbronn, A Jose, J Stegmaier, B Lampe, T Woopen, ...
2023 International Conference on Electrical, Computer and Energy …, 2023
2023
Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers
R Azad, A Kazerouni, A Sulaiman, A Bozorgpour, EK Aghdam, A Jose, ...
International Workshop on Machine Learning in Medical Imaging, 207-216, 2023
2023
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