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2024

Aug 21, 2024: I had the opportunity to visit the University of Leeds in the UK 🇬🇧, to present the most recent work of the automatic kidney stone identification project.

July, 22, 2024: I had the pleasure to be Presentation Chair at the LatinX in Computer Vision (LXCV) at the 2024 2024 International Conference of Machine Learning (ICML) Conference, Vienna, Austria 🇦🇹

Jan 8, 2024: Our journal paper “A metric learning approach for endoscopic kidney stone identification” is now available at Expert Systems with Applications
July, 1st, 2024: I have arrived in France. I am here for my second stay (July to December) as part of the co-supervision between Tecnológico de Monterrey (Gudalajara, Mexico 🇲🇽) and Université de Lorraine (Nancy, France 🇫🇷).
June 26-28, 2024: At the IEEE International Symposium on Computer-Based Medical Systems (CBMS) (Guadalajara, Mexico 🇲🇽), my team and I received “Best Student Paper” with our synthetic kidney stone imaging work.

June 26-28, 2024: I had the pleasure to be Presentation Chair at the IEEE International Symposium on Computer-Based Medical Systems (CBMS) Guadalajara, Mexico 🇲🇽
Jun 18, 2024: I had the pleasure to be Presentation Chair at the LatinX in Computer Vision (LXCV) at the 2024 Computer Vision and Pattern Recognition (CVPR) Conference, Seattle, WA 🇺🇸

May 10, 2024: Our conference paper “Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition” has been accepted at the IEEE International Symposium on Computer-Based Medical Systems (CBMS) Guadalajara, Mexico 🇲🇽
Jan 8, 2024: Our journal paper “On the In Vivo Recognition of Kidney Stones Using Machine Learning” is now available at IEEE ACCESS

2023

Nov 9, 2023: Our conference paper “Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning” is now available at Springer
Oct 3, 2023: I had the pleasure to be General and Logistics Chair at the LatinX in Computer Vision (LXCV) at the 2023 International Conference of Computer Vision (ICCV), Paris, France 🇫🇷

Oct 3, 2023: I had the opportunity to give an oral presentation of our most recent work “Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning” at the LatinX in Computer Vision (LXCV) held at the 2023 International Conference of Computer Vision (ICCV), Paris, France 🇫🇷
Oct 3, 2023: Our conference paper “Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning” is now available in “CVF Open Access”.
Sept 7, 2023: Our paper “Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning” has been accepted as an oral presentation at the 2023 Mexican International Conference of Artificial Intelligence (MICAI) 🇲🇽
Sept 1, 2023: Our conference paper “Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies” is now available in IEEEXplore.
Sept 1, 2023: As part of my Mexico/France co-tutelle, I arrived in France today. I will be doing my studies at Université de Lorraine (UL) & Centre de Recherche en Automatique de Nancy (CRAN).

Jun 18, 2023: I had the pleasure to be Mentoring Chair at the LatinX in Computer Vision (LXCV) at the 2023 Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada 🇨🇦

Apr 21, 2023: I presented as an oral presentation our most recent work “Improved kidney stone recognition through attention and multi-view feature fusion strategies” at the 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia 🇨🇴

2022

May 2, 2022: I had been invited to be a reviewer at the Congreso Mexicano de Inteligencia Artificial 2022!
Apr 23, 2022: I had been invited to be a reviewer at the 26th Conference on Medical Image Understanding and Analysis 2022!

Apr 22, 2022: My application for the UCL Medical Image Computing Summer School (MedICSS 2022) lectures and project package has been successful.

Feb 14, 2022: I’m violently happy and very excited!, today I start my PhD in Computer Sciences at Tecnológico de Monterrey!
Jan 31, 2022: I had the opportunity to meet Prof. Jacques Hubert 🇫🇷 (urologist of the kidney stone project), Prof. Christian Daul 🇫🇷 (thesis co-director) and Dr. Gilberto Ochoa-Ruiz 🇲🇽 (thesis director). The road to France begins!

On the scene: Dr. Gilberto Ochoa-Ruiz 🇲🇽 (Tecnológico de Monterrey), Prof. Jacques Hubert 🇫🇷 (Head of the Urology Department, CHU Nancy), Prof. Christian Daul 🇫🇷 (Université de Lorraine), Francisco Lopez-Tiro (me)

Jan 25, 2021: Our journal paper “On the in vivo recognition of kidney stones using machine learning” is now available in arXiv
Jan 20, 2022: It’s official, I’m a PhD student in Computer Sciences at Tecnológico de Monterrey!

2021

Dec 17, 2021: I have been accepted to do my PhD in Computer Sciences at Tecnológico de Monterrey under the direction of Dr. Gilberto Ochoa-Ruiz

Dec 9, 2021: Our conference paper “Assessing deep learning methods for the identification of kidney stones in endoscopic images” is now available in IEEEXplore
Dec 9, 2021: Our conference paper “Assessing deep learning methods for the identification of kidney stones in endoscopic images” is now available in IEEEXplore
Nov 1, 2021: I presented our conference paper “Assessing deep learning methods for the identification of kidney stones in endoscopic images” at the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (virtual) at Guadalajara, Mexico 🇲🇽

For additional information: [Paper] [arXiv] [Keynote] [Code] [Slides] [Poster] [Extended abstract]

Oct 11, 2021: I presented our poster “Assessing deep learning methods for the identification of kidney stones composition in endoscopic images” at the LatinX in CV (LXCV) Workshop at the 2021 International Conference on Computer Vision (ICCV)

On the scene: Francisco Lopez-Tiro (me), Andres Varelo, Matias Valdenegro

Aug 3, 2021: We have submitted the journal paper “On the in vivo recognition of kidney stones using machine learning” at the Journal of Artificial Intelligence In Medicine
Jul 15, 2021: Our conference paper “Assessing deep learning methods for the identification of kidney stones in endoscopic images” has been accepted at 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) at Guadalajara, Mexico 🇲🇽
Jun 28, 2021: Our journal paper “Visualization of blood vessels in in-vitro raw speckle images using an energy-based on DWT coefficients” is now available in ScienceDirect
Jun 28, 2021: Our conference paper “Localization of blood vessels in in-vitro LSCI images with K-means” is now available in IEEEXplore
Jun 23, 2021: I was invited to participate in the project “Visualization and analysis of colony growth in speckle images” with Dr. Julio Cesar Ramírez-San-Juan from Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) 🇲🇽
Jun 19, 2021: I presented our extended abstract (as poster session) “Assessing deep learning methods for the identification of kidney stones composition in endoscopic images” at the LatinX in CV (LXCV) Workshop at the 2021 Computer Vision and Pattern Recognition (CVPR)

On the scene: Dr. Gilberto Ochoa-Ruiz (Tecnológico de Monterrey), Andres Varelo, Samuel Montero-Hernandez (University of Houston), Francisco Lopez-Tiro (me)

Jun 16, 2021: My first journal paper “Visualization of blood vessels in in-vitro raw speckle images using an energy-based on DWT coefficients” was accepted for publication at the Journal of Biomedical Signal Processing and Control
May 22, 2021: I presented in poster format the work “Localization of Blood Vessels in in-vitro LSCI Images with K-Means” at the 2021 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2021) in Glasgow, Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿

On the scene: Francisco Lopez-Tiro (me)

May 11, 2021: I was invited to participate in the project “Breast classification in mammography images” with Dr. Gilberto Ochoa-Ruiz from Tecnológico de Monterrey 🇲🇽 and Dr. Cristian Mata from the Universitat Politècnica de Catalunya (UPC) 🇪🇸
Mar 1, 2021: Our conference article “Assessing deep learning methods for the identification of kidney stones in endoscopic images” is now available in ArXiv
Mar 1, 2021: Our conference paper “Localization of Blood Vessels in in-vitro LSCI Images with K-Means” has been accepted at 2021 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2021). This year celebrated at Glasgow, Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿
Feb 23, 2021: I just got my first citation! 👨🏾‍💻✨
Feb 21, 2021: We have submitted the conference article “Assessing deep learning methods for the identification of kidney stones in endoscopic images” at the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) at Guadalajara, Mexico 🇲🇽

2020

Aug 8, 2020: I was invited to participate in the project “Classification of kidney stones in endoscopic images” with Dr. Gilberto Ochoa-Ruiz from Tecnológico de Monterrey 🇲🇽🇫🇷
June 30, 2020: Our conference paper “Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach” is now available in IEEEXplore.
May 25, 2020: We present in collaboration the conference paper “Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach” at 2020 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2020). This year celebrated in Dubrovnik, Croatia 🇭🇷 (virtual)

Feb 9, 2020: Our conference paper “Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: A Wavelet Approach” has been accepted at 2020 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2020). This year celebrated in Dubrovnik, Croatia 🇭🇷

2019

Nov 28, 2019: I have successfully passed my thesis defense to obtain my Master’s degree in Biomedical Sciences and Technologies at INAOE 🇲🇽. Thank you all very much!

From left to right: Dr. Hayde Peregrina-Barreto (INAOE), Francisco Lopez-Tiro (me), Dr. José de Jesús Rangel-Magdaleno (INAOE)

Sept 9, 2019: Our conference paper “Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition” is now available in IEEEXplore!
May 22, 2019: I presented in poster format the work “Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition” at the 2019 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2019) in Auckland , New Zealand! 🇳🇿
May 20-23, 2019: We attended IEEE I2MTC 2019 in Auckland , New Zealand! 🇳🇿

From left to right: Carlos Morales-Perez (INAOE), Eduardo Morales-Vargas (INAOE), Max Cortner (I&M Society President), Ingrid Valencia-Hernandez (INAOE), and Francisco Lopez-Tiro (me)

Jan 12, 2019: Our conference paper “Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition” has been accepted at 2019 International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2019). This year celebrated in Auckland, New Zealand 🇳🇿