Alessandro Casella

ORCID: 0000-0002-5214-9443
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About
Contact & Profiles
Research Areas
  • Prenatal Screening and Diagnostics
  • Fetal and Pediatric Neurological Disorders
  • Assisted Reproductive Technology and Twin Pregnancy
  • Radiomics and Machine Learning in Medical Imaging
  • Surgical Simulation and Training
  • Artificial Intelligence in Healthcare and Education
  • Pregnancy and preeclampsia studies
  • Soft Robotics and Applications
  • Neonatal and fetal brain pathology
  • Diverse academic and cultural studies
  • Augmented Reality Applications
  • Explainable Artificial Intelligence (XAI)
  • Internet Traffic Analysis and Secure E-voting
  • Renal cell carcinoma treatment
  • Context-Aware Activity Recognition Systems
  • Anomaly Detection Techniques and Applications
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Balance, Gait, and Falls Prevention
  • Culinary Culture and Tourism
  • Advanced X-ray and CT Imaging
  • Domain Adaptation and Few-Shot Learning
  • Political theory and Gramsci
  • Archaeological Research and Protection
  • Oral health in cancer treatment
  • Voice and Speech Disorders

Italian Institute of Technology
2021-2023

Politecnico di Milano
2019-2023

Andover Eye Associates
2014

University of Pisa
2013

Graduate Institute of International and Development Studies
1968

Istituto Affari Internazionali
1968

The number of international benchmarking competitions is steadily increasing in various fields machine learning (ML) research and practice. So far, however, little known about the common practice as well bottlenecks faced by community tackling questions posed. To shed light on status quo algorithm development specific field biomedical imaging analysis, we designed an survey that was issued to all participants challenges conducted conjunction with IEEE ISBI 2021 MICCAI conferences (80 total)....

10.48550/arxiv.2212.08568 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Exoscopes are a promising tool for neurosurgeons, offering improved visualisation and ergonomics compared with traditional surgical microscopes. They consist of an external scope that projects the field onto 2D or 3D monitor, providing wider view better access to site. Despite advantages, exoscopes present some limitations, such as need manual foot joystick repositioning, which can disrupt flow procedure increase risk user error. In this study, markerless visual-servoing approach autonomous...

10.1109/tmrb.2023.3258524 article EN cc-by-nc-nd IEEE Transactions on Medical Robotics and Bionics 2023-03-17

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The involves pathological anastomoses to restore physiological blood exchange among twins. particularly challenging, from the surgeon's side, due limited field of view, poor manoeuvrability fetoscope, visibility amniotic fluid turbidity, and variability in illumination. These challenges may lead increased surgery time incomplete ablation anastomoses, resulting persistent...

10.1016/j.media.2023.103066 article EN cc-by Medical Image Analysis 2023-12-20

During running and walking the human centre of mass experiences a symmetric acceleration along mediolateral direction. This reported work shows how to exploit this knowledge correct misalignments axes trunk‐mounted accelerometer with respect body axes. After vertical alignment, based on gravitational component signal, technique computes virtual rotation angle lying in horizontal plane. The chosen minimises autocorrelation signal

10.1049/el.2012.3763 article EN Electronics Letters 2013-01-01

The diffusion of technologies for high speed data transmission over the Internet and growing employment new multimedia services require fast effective techniques protection against network attacks. In this paper we present a approach able to detect at same time different types anomalies. It consists in simultaneous analysis several traffic descriptors (aggregated through sketch guarantee scalability algorithm) by means single vectorial algorithm. terms ROC curve, performance our...

10.1109/cns.2013.6682725 article EN 2013-10-01

Objective: In the last years, Robot-assisted partial nephrectomy (RAPN) is establishing as elected treatment for renal cell carcinoma (RCC). Reduced field of view, occlusions by surgical tools, and reduced maneuverability may potentially cause accidents, such unwanted vessel resection with consequent bleeding. Surgical Data Science (SDS) can provide effective context-aware tools supporting surgeons. However, currently no have been exploited automatic vessels segmentation from laparoscopic...

10.1109/icpr48806.2021.9412810 article EN 2022 26th International Conference on Pattern Recognition (ICPR) 2021-01-10

In twin-to-twin transfusion syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between two fetuses. current practice, TTTS is treated surgically by closing using laser ablation. This surgery minimally invasive and relies on fetoscopy. Limited field of view makes anastomosis identification a challenging task for surgeon.

10.1007/s11548-023-03025-7 article EN cc-by International Journal of Computer Assisted Radiology and Surgery 2023-12-09

Vocal folds motility evaluation is paramount in both the assessment of functional deficits and accurate staging neoplastic disease glottis. Diagnostic endoscopy, particular videoendoscopy, nowadays method through which estimated. The clinical diagnosis, however, relies on examination videoendoscopic frames, a subjective professional-dependent task. Hence, more rigorous, objective, reliable, repeatable needed. To support clinicians, this paper proposes machine learning (ML) approach for vocal...

10.1109/embc40787.2023.10340017 article EN 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023-07-24

Fetoscopy laser photocoagulation is a widely used procedure for the treatment of Twin-to-Twin Transfusion Syndrome (TTTS), that occur in mono-chorionic multiple pregnancies due to placental vascular anastomoses. This particularly challenging limited field view, poor manoeuvrability fetoscope, visibility fluid turbidity, variability light source, and unusual position placenta. may lead increased procedural time incomplete ablation, resulting persistent TTTS. Computer-assisted intervention...

10.48550/arxiv.2106.05923 preprint EN cc-by-nc-sa arXiv (Cornell University) 2021-01-01

Abstract Purpose Fetoscopic laser photocoagulation of placental anastomoses is the most effective treatment for twin-to-twin transfusion syndrome (TTTS). A robust mosaic placenta and its vascular network could support surgeons’ exploration by enlarging fetoscope field-of-view. In this work, we propose a learning-based framework field-of-view expansion from intra-operative video frames. Methods While current state art fetoscopic mosaicking builds upon registration anatomical landmarks which...

10.1007/s11548-023-02974-3 article EN cc-by International Journal of Computer Assisted Radiology and Surgery 2023-08-16

(1968). A visit to inner Mongolia. Journal of The Royal Central Asian Society: Vol. 55, No. 2, pp. 152-157.

10.1080/03068376808732027 article EN Journal of The Royal Central Asian Society 1968-06-01

The introduction of a surgical microscope in neurosurgery increased the spectrum and safety interventions. surgeon operates with both hands on patient while also controlling visualization system to provide proper view. Despite benefits microscope, low ergonomics may lead long-term effects muscu- loskeletal system. bulky binocular limit setup’s flexibility, hindering robotics integration into operating theatre. Recently, exoscopes overcame those limitations by enabling flexible ergonomic...

10.31256/hsmr2022.60 article EN 2022-06-26
Matthias Eisenmann Annika Reinke Vivienn Weru Minu D. Tizabi Fabian Isensee and 95 more Tim Adler Sharib Ali Vincent Andrearczyk Marc Aubreville Ujjwal Baid Spyridon Bakas Niranjan Balu Sophia Bano Jorge Bernal Sebastian Bodenstedt Alessandro Casella Veronika Cheplygina Marie Daum Marleen de Bruijne Adrien Depeursinge Reuben Dorent Jan Egger David Ellis Sandy Engelhardt Melanie Ganz Noha Ghatwary Gabriel Girard Patrick Godau Anubha Gupta Lasse Hansen Kanako Harada Mattias P. Heinrich‬ Nicholas Heller Alessa Hering Arnaud Huaulmé Pierre Jannin Ali Emre Kavur Oldřich Kodym Michal Kozubek Jianning Li Hongwei Li Jun Ma Carlos Martín-Isla Bjoern Menze J. Alison Noble Valentin Oreiller Nicolas Padoy Sarthak Pati Kelly Payette Tim Rädsch Jonathan Rafael-Patiño Vivek Singh Bawa Stefanie Speidel Carole H. Sudre Kimberlin van Wijnen Martin Wagner Donglai Wei Amine Yamlahi Moi Hoon Yap Chun Yuan Maximilian Zenk Aneeq Zia David Zimmerer Dogu Baran Aydogan Binod Bhattarai Louise Bloch Raphael Brüngel Ji‐Hoon Cho Chanyeol Choi Qi Dou Ivan Ezhov Christoph M. Friedrich Clifton D. Fuller Rebati Raman Gaire Adrián Galdrán Álvaro García Faura Maria G. Grammatikopoulou SeulGi Hong Mostafa Jahanifar Ikbeom Jang Abdolrahim Kadkhodamohammadi Inha Kang Florian Kofler Satoshi Kondo Hugo J. Kuijf Mingxing Li Minh Huan Luu Tomaž Martinčič Pedro Morais Mohamed A. Naser Bruno Oliveira David Owen Subeen Pang Jinah Park Sung‐Hong Park Szymon Płotka Élodie Puybareau Nasir Rajpoot Kanghyun Ryu Numan Saeed

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? makes a solution superior competing method? To address this gap in literature, we performed multi-center study with all 80 that were conducted scope IEEE ISBI...

10.48550/arxiv.2303.17719 preprint EN cc-by arXiv (Cornell University) 2023-01-01
Matthias Eisenmann Andreas Reinke Vivienn Weru Minu D. Tizabi Fabian Isensee and 95 more Thomas Adler Sharib Ali Vincent Andrearczyk Marc Aubreville Ujjwal Baid Spyridon Bakas Niranjan Balu Sophia Bano Jorge Bernal Sebastian Bodenstedt Alessandro Casella Veronika Cheplygina M. Daum Marleen de Bruijne Adrien Depeursinge Reuben Dorent Jan Egger David Ellis Sandy Engelhardt Melanie Ganz Noha Ghatwary Gabriel Girard Patrick Godau Anubha Gupta Lasse Hansen Kensuke Harada Mattias P. Heinrich‬ Nicholas Heller Alessa Hering Arnaud Huaulmé Pierre Jannin Ali Emre Kavur Oldřich Kodym Michal Kozubek Jonathan Li Han Li Jianchao Ma Carlos Martín-Isla Bjoern Menze J. Alison Noble Valentin Oreiller Nicolas Padoy Sarthak Pati Kelly Payette Tim Rädsch Jonathan Rafael‐Patiño Vivek Singh Bawa Stefanie Speidel Carole H. Sudre K. Van Wijnen Martin Wagner Donglai Wei Amine Yamlahi Moi Hoon Yap Chun Yuan Maximilian Zenk Ali Zia David Zimmerer Davut Aydoğan Binod Bhattarai Louise Bloch Raphael Brüngel Junghyun Cho Chanyeol Choi Qi Dou Ivan Ezhov Christoph M. Friedrich Clifton D. Fuller Rebati Raman Gaire Adrián Galdrán Álvaro García Faura Maria G. Grammatikopoulou Seungbum Hong Mostafa Jahanifar Ik–Kyung Jang Abdolrahim Kadkhodamohammadi Iksung Kang Florian Kofler Satoshi Kondo Hugo J. Kuijf Mengran Li Maxime Luu Tomaž Martinčič Pedro Morais Mohamed A. Naser Bruno Oliveira David Owen Shuchao Pang Jong Cheol Park Sung‐Hong Park Szymon Płotka Élodie Puybareau Nasir Rajpoot Keun Ho Ryu Numan Saeed

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? makes a solution superior competing method? To address this gap in literature, we performed multicenter study with all 80 that were conducted scope IEEE ISBI...

10.1109/cvpr52729.2023.01911 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023-06-01

In this paper, a position-based visual-servoing control approach is introduced for robotic camera holder to improve ergonomics and reduce mental stress during brain surgery. The visual tracking system controls moves the by following selected surgical instrument without need artificial markers. was validated using 7 Degree-of-Freedoms (DoFs) redundant manipulator with an eye-in-hand stereo configuration compared conventional methods NASA TLX survey four objective metrics, including execution...

10.1109/iros55552.2023.10341799 article EN 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023-10-01
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