Bilateral edge detectors. - Abin Jose; Chandra Sekhar Seelamantula (ICASSP, 2013)

Ridge detection using Savitzky-Golay filtering and steerable second-order Gaussian derivatives. - Abin Jose; Sunder Ram Krishnan; Chandra Sekhar Seelamantula (ICIP, 2013)

Towards quantitative assessment of calciphylaxis. - Thomas M. Deserno; István Sárándi; Abin Jose; Daniel Haak; Stephan M. Jonas; Paula Specht; Vincent Brandenburg (Computer-Aided Diagnosis, 2014)

Towards Standardized Wound Imaging. - Abin Jose; Daniel Haak; Stephan M. Jonas; Vincent Brandenburg; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2015)

Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color. - Abin Jose; Daniel Haak; Stephan M. Jonas; Vincent Brandenburg; Thomas M. Deserno (Computer-Aided Diagnosis, 2015)

Bag of Fisher Vectors representation of images by saliency-based spatial partitioning. - Abin Jose; Iris Heisterklaus (ICASSP, 2017)

Binary hashing using siamese neural networks. - Abin Jose; Shen Yan; Iris Heisterklaus (ICIP, 2017)

Optimized Binary Hashing Codes Generated by Siamese Neural Networks for Image Retrieval. - Abin Jose; Timo Horstmann; Jens-Rainer Ohm (EUSIPCO, 2018)

Pyramid Pooling of Convolutional Feature Maps for Image Retrieval. - Abin Jose; Ricard Durall Lopez; Iris Heisterklaus; Mathias Wien (ICIP, 2018)

Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning. - Abin Jose; Shen Yan; Mi Zhang 002; Jens-Rainer Ohm (ICIP, 2020)

Optimized feature space learning and binary hashing for image retrieval. - Abin Jose (2021)

Deep Hashing with Hash Center Update for Efficient Image Retrieval. - Abin Jose; Daniel Filbert; Christian Rohlfing; Jens-Rainer Ohm (ICASSP, 2022)

Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. - Abin Jose; Qi Mei; Dennis Eschweiler; Ina Laube; Johannes Stegmaier (ICIP, 2022)

Optimized feature space learning for generating efficient binary codes for image retrieval. - Abin Jose; Erik Stefan Ottlik; Christian Rohlfing; Jens-Rainer Ohm (Signal Process. Image Commun., 2022)

Weakly-supervised Temporal Segmentation of Cell-cycle Stages with Center-cell Focus using Recurrent Neural Networks. - Abin Jose; Rijo Roy; Johannes Stegmaier (Bildverarbeitung für die Medizin, 2023)

End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. - Abin Jose; Rijo Roy; Dennis Eschweiler; Ina Laube; Reza Azad; Daniel Moreno-Andrés; Johannes Stegmaier (ICASSP, 2023)

Enhancing Lidar-Based Object Detection in Adverse Weather Using Offset Sequences in Time. - Raphael van Kempen; Tim Rehbronn; Abin Jose; Johannes Stegmaier; Bastian Lampe; Timo Woopen; Lutz Eckstein (ICECET, 2023)

Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers. - Reza Azad; Amirhossein Kazerouni; Alaa Sulaiman; Afshin Bozorgpour; Ehsan Khodapanah Aghdam; Abin Jose; Dorit Merhof (MLMI@MICCAI (1), 2023)

Cell Cycle State Prediction Using Graph Neural Networks. - Sayan Acharya; Aditya Ganguly; Ram Sarkar; Abin Jose (ICIP, 2024)

Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading. - Maroof Abdul Aziz; Fatemeh Javadian; Sherin Susheel Mathew; Avinash Gopal; Johannes Stegmaier; Sonit Singh; Abin Jose (ICIP, 2024)

Advances in medical image analysis with vision Transformers: A comprehensive review. - Reza Azad; Amirhossein Kazerouni; Moein Heidari; Ehsan Khodapanah Aghdam; Amirali Molaei; Yiwei Jia; Abin Jose; Rijo Roy; Dorit Merhof (Medical Image Anal., 2024)

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. - Dennis Eschweiler; Rüveyda Yilmaz; Matisse Baumann; Ina Laube; Rijo Roy; Abin Jose; Daniel Brückner; Johannes Stegmaier (PLoS Comput. Biol., 2024)

Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images. - Fatemeh Javadian; Zahra Aminparast; Johannes Stegmaier; Abin Jose (ISBI, 2025)